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Gemma 4 E4B

1 tested weight format · Explore results, then inspect the answers.

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Q4_0 · 4.59 GB download

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Setup, memory & provenance · Q4_0

Q4_0 · 4.59 GB of weights · rocm · context 32768 · GPU layers 99

Medium · 5–under 20B · dense · 7.5B total

Memory fit has not been verified for this configuration.

completed

Recorded settings and thinking verification

Temperature 0 · seed 42 · output limit 4096 · reasoning effort unrecorded

RAM labels describe the test computer, not this model’s memory requirement. Speed comparisons keep the 32 GB and 128 GB runs separate.

Runtime build: unrecorded · Local · test machine with 32 GB RAM · concurrency: 1

Thinking status: verified · probe 1 · scope Saved profile-level probe; exact historical template/build scope is not fully recorded..

Requested off does not prove an absence of reasoning. Saved checks do not establish unrecorded historical template or build details.

Overall across tasks

30.2 / 100

Nine categories, equally weighted · 9/9 eligible

Complete coverage for this setup. Quality only; speed is separate. How the index works →

What does it do well?

Select a category to explore the answers. Bars show what happened on every planned task. Incorrect answers and failures to finish both earn zero; technical problems and untested tasks stay unscored.

Exact scores and task times by suite

Each suite has its own metric and fixed task bank. The balanced index weights categories equally; individual scores and evidence remain available below.

Test suiteThinking offDetails
Everyday coding tasksTask pass rate
Pass rate
11/16 · 69%
Answers completed
16/16 · 100%
Correct / completed
11/16 · 69%
11 full credit5 incorrect
16/16 scored5.4s median task time · 16 measured
Larger practical tasksMean task credit
Average credit
36.4%
Full-credit rate
4/11 · 36%
Answers completed
10/11 · 91%
Full credit / completed
4/10 · 40%
4 full credit6 incorrect1 failed to finish
11/11 scored14.6s median task time · 11 measured
Logic and number puzzlesMean puzzle credit
Average credit
14.9%
Full-credit rate
5/34 · 15%
Answers completed
34/34 · 100%
Full credit / completed
5/34 · 15%
5 full credit5 partial credit24 incorrect
34/34 scored58.3s median task time · 34 measured
Published hard problemsMean answer credit
Average credit
9.4%
Full-credit rate
1/11 · 9%
Answers completed
11/11 · 100%
Full credit / completed
1/11 · 9%
1 full credit1 partial credit9 incorrect
11/11 scored60.7s median task time · 11 measured
Following exact instructions · original campaignStrict prompt compliance
Pass rate
4/23 · 17%
Answers completed
23/23 · 100%
Correct / completed
4/23 · 17%
4 full credit19 incorrect
23/23 scored60.6s median task time · 23 measured
Reading without guessingExact-match accuracy
Pass rate
4/16 · 25%
Answers completed
16/16 · 100%
Correct / completed
4/16 · 25%
4 full credit12 incorrect
16/16 scored60.3s median task time · 16 measured
Calculating from a passageNumeric exact-match accuracy
Pass rate
0/7 · 0%
Answers completed
7/7 · 100%
Correct / completed
0/7 · 0%
7 incorrect
7/7 scored60.5s median task time · 7 measured
Reading research papersAnswer token F1
Average credit
0.0%
Full-credit rate
0/8 · 0%
Answers completed
8/8 · 100%
Full credit / completed
0/8 · 0%
8 incorrect
8/8 scored63.5s median task time · 8 measured
Resisting incorrect correctionsAll-branches pass rate
Pass rate
12/12 · 100%
Answers completed
12/12 · 100%
Correct / completed
12/12 · 100%
12 full credit
12/12 scored1.0s median task time · 12 measured
Following exact instructions · 128 GB campaignStrict prompt complianceNot planned

Model analysis

This analysis covers this configuration across its recorded thinking conditions and test suites.

Use Gemma 4 E4B with thinking on for small project edits and logic puzzles. It also answered passage questions with short task times in these runs. Research-paper answering remains weak. Larger practical work had mixed outcomes across the fully scored eligible task bank, so small-task successes should not be taken as a promise of dependable unattended project work.

Evidence for this judgment

Logic and number puzzles
Thinking on. Medium · 5–under 20B · dense. Rank 1 of 9 in this recorded comparison.

Everyday coding tasks · Thinking on
Tasks passed16 of 16 (100.0%)
Test coverage16 of 16 tasks scored
Explore these test results →

View this model’s answers, code and tool activity →

Logic and number puzzles · Thinking on
Average score82.4/100 · Mean puzzle credit
Test coverage34 of 34 tasks scored
Task outcomes28 full credit · 0 partial · 6 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Reading without guessing · Thinking on
Tasks passed14 of 16 (87.5%)
Test coverage16 of 16 tasks scored
Tasks timed16 tasks
Typical time per task (median)4.2 seconds
Explore these test results →

View this model’s answers, code and tool activity →

Reading research papers · Thinking on
Average score34.7/100 · Answer token F1
Test coverage8 of 8 tasks scored
Task outcomes0 full credit · 6 partial · 2 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Larger practical tasks · Thinking on
Average score54.5/100 · Mean task credit
Test coverage11 of 11 tasks scored
Task outcomes6 full credit · 0 partial · 5 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Original analysis generated by GPT Astra · · Edited by Codex; agent reviewed by Codex · publication authorized by user

About this summary

Codex reviewed this assessment against a newer evidence edition. The original analyst, generation date and source draft remain recorded separately from the editorial revision.

Analyst provider
openai
Generation route
Codex CLI · codex-cli 0.162.1 · ChatGPT account
Requested model
gpt-6-astra
Returned model
Not supplied; identity is recorded from the request only.
Exact provider snapshot
Exact provider snapshot not supplied.
Reasoning effort
high
Prompt version
model-summary-reader-v6
Generation time
2026-10-12T05:27:08.702915Z
Review time
2026-10-22T07:26:27.151618+00:00
Evidence reviewer
Codex (agent)
Publication authorization
User · 2026-10-22T05:55:43.625712+00:00 · Go ahead and complete the remaining work. Spin up agents: luna, terra, sol, astra, as needed to get it done. Narrative summaries: these are the astra generated summaries? Go ahead and get those completed as well. Once all of this is done, you may push the completed result.
Originating evidence edition
dataset-b1aa28e61ea9ce402d5617e636622c22565093f8849fd66537b5f4353d228521
Analysis input hash
0aaf8833ffe1d238dd7ec691a856a65728aca290bc73c4d012c7f7001193fc85
Original analysis input hash
34e2513934b0730f331fb4237243fb505ab8b573004ede5e68c3972ce601a10d
Editorial evidence edition
dataset-5a6f96ec56c3d240cc42fa23147c1495da1be71f3ef0722c0e5f8c4f5e126a83
Original summary
summary-112770bb34c6ba208296799b9a5ec92321144f019ebbf38797bac418faf1e613
Summary revision
summary-2c6e8fd264ea4183885cccb358173926ed649ffc2632c1c32442427ad678e9b8

Generation and editorial authorship remain attached to this revision. Changing the default generator does not change this attribution.

Contributing analyses (17)
  • GPT Astra ·
    Analysis stage
    suite_synthesis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    eef08e499b719296a3ecc71ab596acd64b028627e48e2ab074d36f8ce3f15c00
    Summary revision
    summary-037e311627945f18487aa81b1288b7ad22ebe3aa01215d1bd89dcfd35113599d
    Input summary revisions
    summary-2e5cb7b9f20f0ef96e381015f20e23238f70008dd732413d2f4f202e72ff48e7, summary-42b0574d7075b8ec673220b08eae672e92c6d8184d6b5d4699b96564b677e525, summary-6a0f07e45b0f4e87a16399d31da5bd9845f29adc37bf0405a086d172df9024fc, summary-7b60d33b532365d743538f99f8164bcb55fd652ef57ade2e444a7c9f93dec966, summary-911eaa5d0c8cf2d07306b4202f7834ed6dcdb7d023cfe226e475708a8dd52234, summary-9dda56c0e3974158819dc05f055935e8589076a1193a35b2e97d0fadbea70b46, summary-fa6b0f8382defac8b62d9be1edd5d48f2d77f620552fee75d8bc2be8abab0402
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    91a186cd304a85b924a34571cc1a10a0d79de1132a481439e75e3ba27744baf6
    Summary revision
    summary-24ac82bba23715a19078f2fe565327c73401c39664e1401526ebb298c67882df
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    2264e6e3a939bedb8414e17f1d042a981a1a7b3a51fd3bcdd811fd48e8befa15
    Summary revision
    summary-26a0e07f8868ee83f16360005d3b88186a5d32863565e033e24104a1e63428ed
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    c3801b05358394b3107d4e3a0b78b7b9d91db0a30b93230d9e2cd94cff27664f
    Summary revision
    summary-2e5cb7b9f20f0ef96e381015f20e23238f70008dd732413d2f4f202e72ff48e7
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    d63e9b5e94a0b70b2a3ed9bb0e3805426715637ee2a9f1c989ad804ac2f52ea7
    Summary revision
    summary-39f71375e33e94608f3c1d6b07f99dddfce8ec3eeb1e65ba9b7d4ef599dbac2d
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    98752dc7d79bf2a18c32118592e46a7218dcf7f407a0f4689931ece4fcc7fa78
    Summary revision
    summary-42b0574d7075b8ec673220b08eae672e92c6d8184d6b5d4699b96564b677e525
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    5ad9b14e28313e9f67361f9330b9d1911b5e18ad38e8f285352e153daf51411d
    Summary revision
    summary-6a0f07e45b0f4e87a16399d31da5bd9845f29adc37bf0405a086d172df9024fc
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    fd3a82e03b39ce1b741fedb72b351583d99604e9f11e884a1e2aa52558b9b803
    Summary revision
    summary-753c74d377a1b60e3275dcaafd0db64644e6bc62c5e9951e271473c274597350
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    639da2e0afd2fe5685ece3d5cac548019894d4b4158a83e0bc32f385503bbb81
    Summary revision
    summary-7b60d33b532365d743538f99f8164bcb55fd652ef57ade2e444a7c9f93dec966
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    606e29ea141213128fc7b4c1fcac0cbc97536336f023d9dfedb3e1190b681f43
    Summary revision
    summary-911eaa5d0c8cf2d07306b4202f7834ed6dcdb7d023cfe226e475708a8dd52234
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    aceadbb807d0623d217cd47a2c0bda7be53aeca3cf72b60977363534e998f375
    Summary revision
    summary-95dfb6d895b3be05ccb38809777d541ae15c80722e18dbd5e7ab13a9285048e8
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    02bd77bed9b0736892f06a3760590fc3c339f0f93f66299f2eccc5335a04e43c
    Summary revision
    summary-9cb159f0cc5528c5a28e6905f0bb81738f43d6895aee68b2f2b61c1f6aed0ec2
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    b727260b8306e5043df73d6f9354a7a0b3ed3321143ab16ef91ea2846372da31
    Summary revision
    summary-9dda56c0e3974158819dc05f055935e8589076a1193a35b2e97d0fadbea70b46
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    subject_synthesis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    1466af8dad5db889b5e0abc38be4b803dcc1f313869f0213f966f419aa5396fe
    Summary revision
    summary-b1fba30fd00944e2ccf756e63b7145c4a946f562c41d3fe01fc2ee307a094999
    Input summary revisions
    summary-037e311627945f18487aa81b1288b7ad22ebe3aa01215d1bd89dcfd35113599d, summary-24ac82bba23715a19078f2fe565327c73401c39664e1401526ebb298c67882df, summary-26a0e07f8868ee83f16360005d3b88186a5d32863565e033e24104a1e63428ed, summary-39f71375e33e94608f3c1d6b07f99dddfce8ec3eeb1e65ba9b7d4ef599dbac2d, summary-753c74d377a1b60e3275dcaafd0db64644e6bc62c5e9951e271473c274597350, summary-95dfb6d895b3be05ccb38809777d541ae15c80722e18dbd5e7ab13a9285048e8, summary-9cb159f0cc5528c5a28e6905f0bb81738f43d6895aee68b2f2b61c1f6aed0ec2, summary-b591abad2ac79a39f3a9ed0586a7dc51505dbc2335e91e119acc1067267ff8d0, summary-de81512d3ff750dcf2d8608e67bf36001067cc27de6fc34fada7ae705ee1e017
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    bc7ac09037340da50e71b4363b0807a2e0a8cac91408fe09a8c99822a6123f37
    Summary revision
    summary-b591abad2ac79a39f3a9ed0586a7dc51505dbc2335e91e119acc1067267ff8d0
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    suite_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    1e71cf98e838957c2d525442820a2b10175205264561cb6efa2b24fa0286ed41
    Summary revision
    summary-de81512d3ff750dcf2d8608e67bf36001067cc27de6fc34fada7ae705ee1e017
    Input summary revisions
    Direct evidence analysis
  • GPT Astra ·
    Analysis stage
    example_analysis
    Requested / returned model
    gpt-6-astra / Not supplied
    Exact provider snapshot
    Exact provider snapshot not supplied.
    Reasoning effort
    high
    Prompt version
    model-summary-v3
    Analysis input hash
    8d431a661876a4816d24ffab5b37971e1395e657bbfa1dae953efebe86a66087
    Summary revision
    summary-fa6b0f8382defac8b62d9be1edd5d48f2d77f620552fee75d8bc2be8abab0402
    Input summary revisions
    Direct evidence analysis

Good at

Handles small project edits and tight wording, length and formatting requirements well with thinking on. It passed every small-coding task, though that does not establish larger-project ability.

Evidence for this judgment
Everyday coding tasks · Thinking on
Tasks passed16 of 16 (100.0%)
Test coverage16 of 16 tasks scored
Explore these test results →

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Following exact instructions · Thinking on
Tasks passed21 of 23 (91.3%)
Test coverage23 of 23 tasks scored
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Keeps source-backed answers when incorrectly challenged and updates them when the source changes. With thinking on, it passed every tested correction scenario.

Evidence for this judgment
Resisting incorrect corrections · Thinking on
Tasks passed12 of 12 (100.0%)
Test coverage12 of 12 tasks scored
Explore these test results →

View this model’s answers, code and tool activity →

Struggles with

Research-paper answering is weak even with thinking: answer matching scores were low, and no answer matched fully. Treat its paper answers as starting points requiring verification, not dependable research conclusions.

Evidence for this judgment
Reading research papers · Thinking on
Average score34.7/100 · Answer token F1
Test coverage8 of 8 tasks scored
Task outcomes0 full credit · 6 partial · 2 no credit
Explore these test results →

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Difficult math and reasoning remain uneven with thinking on. Larger app-building and investigative tasks also produced mixed outcomes across the fully scored eligible task bank; supervised use remains appropriate.

Evidence for this judgment
Published hard problems · Thinking on
Average score46.7/100 · Mean answer credit
Test coverage11 of 11 tasks scored
Task outcomes5 full credit · 2 partial · 4 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Larger practical tasks · Thinking on
Average score54.5/100 · Mean task credit
Test coverage11 of 11 tasks scored
Task outcomes6 full credit · 0 partial · 5 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Should you enable thinking?

Keep thinking on for everyday use: it improves small-project coding at a modest extra time cost, while passage answering and instruction following improve and take less average time. Turning it off is not a dependable speed shortcut.

Evidence for this judgment
Everyday coding tasks · Thinking off versus on
Thinking off → on68.8% · Task pass rate → 100.0% · Task pass rate
Paired test coverage16 of 16 tasks compared in both modes
Tasks timed in both modes16 pairs
Score change with thinking on+31.3 score points
Average time change with thinking on4.9 seconds slower
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Reading without guessing · Thinking off versus on
Thinking off → on25.0% · Exact-match accuracy → 87.5% · Exact-match accuracy
Paired test coverage16 of 16 tasks compared in both modes
Tasks timed in both modes16 pairs
Score change with thinking on+62.5 score points
Average time change with thinking on40.8 seconds faster
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Following exact instructions · Thinking off versus on
Thinking off → on17.4% · Strict prompt compliance → 91.3% · Strict prompt compliance
Paired test coverage23 of 23 tasks compared in both modes
Tasks timed in both modes23 pairs
Score change with thinking on+73.9 score points
Average time change with thinking on33.4 seconds faster
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View this model’s answers, code and tool activity →

Compared with other models

With thinking on, it narrowly leads other tested medium-sized dense models on puzzle scores and ties the best small-coding result. Difficult math and reasoning are less competitive, sitting between substantially stronger and weaker alternatives.

Evidence for this judgment

Logic and number puzzles
Thinking on. Medium · 5–under 20B · dense. Rank 1 of 9 in this recorded comparison.

Everyday coding tasks
Thinking on. Medium · 5–under 20B · dense. Tied at rank 1 of 9 in this recorded comparison.

Published hard problems
Thinking on. Medium · 5–under 20B · dense. Rank 4 of 9 in this recorded comparison.

Logic and number puzzles · Thinking on
Average score82.4/100 · Mean puzzle credit
Test coverage34 of 34 tasks scored
Task outcomes28 full credit · 0 partial · 6 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Everyday coding tasks · Thinking on
Tasks passed16 of 16 (100.0%)
Test coverage16 of 16 tasks scored
Explore these test results →

View this model’s answers, code and tool activity →

Published hard problems · Thinking on
Average score46.7/100 · Mean answer credit
Test coverage11 of 11 tasks scored
Task outcomes5 full credit · 2 partial · 4 no credit
Explore these test results →

View this model’s answers, code and tool activity →

Logic and number puzzlesThinking on · Medium · 5–under 20B · dense

Solve newly generated puzzles using arithmetic, deduction and planning.

Mean puzzle credit · 0–100 points · higher is better
34 of 34 tasks scored for each model.

Gaps are relative to this model. Treat small gaps cautiously.

  1. #1 Gemma 4 E4B7.5B total parameters82.4/100
    This model
  2. #2 Gemma 4 12B QAT Q4_011.9B total parameters79.4/100
    2.9 points lower
  3. #3 Gemma 4 12B11.9B total parameters75.0/100
    7.4 points lower
  4. #4 Ornith 1.5 9B Q4_K_M9.2B total parameters73.5/100
    8.8 points lower
  5. #5 Nemotron Nano 9B v2 Q4_08.9B total parameters50.1/100
    32.3 points lower
  6. #6 Qwen3.5 9B9.0B total parameters50.0/100
    32.3 points lower
  7. #7 Granite 4.2 8B Q4_08.8B total parameters48.8/100
    33.5 points lower
  8. #8 Ministral 3 14B Reasoning 2512 Q4_K_M13.5B total parameters40.9/100
    41.5 points lower
  9. #9 Ministral 3 8B Reasoning 2512 Q4_K_M8.5B total parameters37.8/100
    44.6 points lower

Other mode, this model only: thinking off · 14.9/100 · Mean puzzle credit.

How this comparison works

Average credit per task; partly correct results can earn partial credit. Family comparisons show the labeled Instruct and reasoning versions. Other peer comparisons use the same requested thinking setting, not necessarily each model’s best mode. Small differences on these short tests may not hold on other tasks. Peer membership varies by test coverage and compatible settings.

Comparison saved with the 2026-10-12 assessment. Task-specific results.

Everyday coding tasksThinking on · Medium · 5–under 20B · dense

Find information in a small project, edit files and fix bugs.

Task pass rate · 0–100% · higher is better
16 of 16 tasks scored for each model.

Gaps are relative to this model. Treat small gaps cautiously.

  1. =1 Gemma 4 E4B7.5B total parameters100.0%
    This model
  2. =1 Granite 4.2 8B Q4_08.8B total parameters100.0%
    Same score
  3. =1 Ornith 1.5 9B Q4_K_M9.2B total parameters100.0%
    Same score
  4. =1 Qwen3.5 9B9.0B total parameters100.0%
    Same score
  5. =5 Gemma 4 12B11.9B total parameters93.8%
    1 task fewer passed
  6. =5 Gemma 4 12B QAT Q4_011.9B total parameters93.8%
    1 task fewer passed
  7. #7 Ministral 3 8B Reasoning 2512 Q4_K_M8.5B total parameters75.0%
    4 tasks fewer passed
  8. #8 Nemotron Nano 9B v2 Q4_08.9B total parameters62.5%
    6 tasks fewer passed
  9. #9 Ministral 3 14B Reasoning 2512 Q4_K_M13.5B total parameters50.0%
    8 tasks fewer passed

Several models reached full marks; this test cannot separate their top scores.

Other mode, this model only: thinking off · 68.8% · Task pass rate.

How this comparison works

Share of tasks that passed the recorded checks. Family comparisons show the labeled Instruct and reasoning versions. Other peer comparisons use the same requested thinking setting, not necessarily each model’s best mode. Small differences on these short tests may not hold on other tasks. Peer membership varies by test coverage and compatible settings.

Comparison saved with the 2026-10-12 assessment. Task-specific results.

Published hard problemsThinking on · Medium · 5–under 20B · dense

Answer selected difficult math and reasoning questions from LiveBench.

Mean answer credit · 0–100 points · higher is better
11 of 11 tasks scored for each model.

Gaps are relative to this model. Treat small gaps cautiously.

  1. #1 Gemma 4 12B QAT Q4_011.9B total parameters73.0/100
    26.4 points higher
  2. #2 Ornith 1.5 9B Q4_K_M9.2B total parameters72.3/100
    25.6 points higher
  3. #3 Gemma 4 12B11.9B total parameters63.9/100
    17.3 points higher
  4. #4 Gemma 4 E4B7.5B total parameters46.7/100
    This model
  5. =5 Ministral 3 14B Reasoning 2512 Q4_K_M13.5B total parameters37.6/100
    9.1 points lower
  6. =5 Qwen3.5 9B9.0B total parameters37.6/100
    9.1 points lower
  7. #7 Granite 4.2 8B Q4_08.8B total parameters20.8/100
    25.9 points lower
  8. #8 Nemotron Nano 9B v2 Q4_08.9B total parameters18.2/100
    28.5 points lower
  9. #9 Ministral 3 8B Reasoning 2512 Q4_K_M8.5B total parameters11.2/100
    35.5 points lower

Other mode, this model only: thinking off · 9.4/100 · Mean answer credit.

How this comparison works

Average credit per task; partly correct results can earn partial credit. Family comparisons show the labeled Instruct and reasoning versions. Other peer comparisons use the same requested thinking setting, not necessarily each model’s best mode. Small differences on these short tests may not hold on other tasks. Peer membership varies by test coverage and compatible settings.

Comparison saved with the 2026-10-12 assessment. Task-specific results.

With thinking on, reading accuracy tied Qwen3.5 9B and was one answer behind Qwen3.5 4B, while median task time was much shorter than both.

Evidence for this judgment

Speed: Reading without guessing
Thinking on. Matching test-machine label and execution settings; spans model sizes. Timings include unsuccessful tasks, so read them alongside quality.

Speed and task success: Reading without guessingThinking on · Matching test-machine label and settings · Across model sizes

Shorter task time is better only when the result is useful. These times include failures, tools and grading. Token generation speed measures a different part of the work.

Compare timings and outcomes
ModelTypical task timeGeneration speedTasks passed
Gemma 4 E4BThis model4.2 seconds16 of 16 tasks timed73.0 tokens/s14 of 1616 of 16 scored
Qwen3.5 4B27.2 seconds16 of 16 tasks timed76.9 tokens/s15 of 1616 of 16 scored
Qwen3.5 9B37.8 seconds16 of 16 tasks timed55.6 tokens/s14 of 1616 of 16 scored

Results from this test setup, not a promise for your computer. Hardware, software, tokenizers and answer length can change the ordering. Historical runtime builds were not always captured. Comparison saved with the 2026-10-12 assessment.

Test machine: AMD Ryzen 5 5600X (6 cores / 12 threads) · AMD Radeon RX 6700 XT (12 GB VRAM) · 32 GB or 128 GB system RAM, never mixed in one timing group. Full test machine details

Worth knowing

Confirmed context-budget failures receive zero task-completion credit and count as failures to answer, not incorrect submitted answers. Answer-only averages exclude these no-answer outcomes; completed same-budget retries are scored normally. This follow-up is selected after observing failures.

Evidence for this judgment

Source limitation
One same-budget retry after context exhaustion. A second context limit is failed to answer (zero task-completion credit), not an incorrect submitted answer. Answer-only averages exclude these no-answer outcomes; completed retry answers enter the normal scoring path. This follow-up is selected after observing failures.

Publication redactions restrict reader inspection of some examples and paper material. They do not establish that the model lacked those inputs.

Evidence for this judgment

Source limitation
Some selected evidence has recorded publication redactions.

How to interpret these assessments and their limitations →

One weight format is recorded for this model. Additional tested formats will appear here when available.

What changed in these results

One same-budget retry after context exhaustion. A second context limit is failed to answer (zero task-completion credit), not an incorrect submitted answer. Answer-only averages exclude these no-answer outcomes; completed retry answers enter the normal scoring path. This follow-up is selected after observing failures.

Thinking tradeoff

16/16 matched scored questions · 16/16 matched timed questions

Thinking offMean matched task credit68.8%
Thinking onMean matched task credit100.0%

Thinking on took 4.9 seconds more per matched timed question, on average.

All matched quality and timing measurements
Matched measurementRecorded result
Average credit, off → on68.8% → 100.0%
Mean paired credit change+31.3 percentage points
Question outcomes5 improved · 11 unchanged · 0 worse
Mean added task time+4.9s
Mean task time, off → on7.5s → 12.4s
Median task time, off → on5.4s → 11.3s
Median of paired time changes+4.1s
Total added task time+78.9s
Ratio of summed times, on / off1.7×

Quality and timing can cover different subsets. Median paired change is calculated per question; it is not the difference between the two medians. Task time includes tools and grading.

Inspect the matched modes and their answers →
Inspect individual matched questions

Sampled repetitions

Repeated runs are a separate experiment and never add votes to the baseline score.

Thinking off · temperature 0.6

48/48 repeats scored · 35 full-credit repeats.

16/16 questions have every planned repeat scored. Of those, 8 earned full credit on every repeat.

Recorded repetition conditions
  • Seed 101 · requested off · verified
  • Seed 303 · requested off · verified
  • Seed 202 · requested off · verified

Everyday coding tasks: recorded outcomes

Find information in a small project, edit files and fix bugs.

11 full credit5 incorrect

Each segment counts tasks, not credit points. Partial credit varies by task.

Scoring and fixed question bank →

This model’s answers, code and tool activity

Select a question to read the original answer, tool calls and available code changes for this configuration and thinking setting.

1–16 of 16 matching questions · 16 in this version

  • Locate the Retry Limit

    The user asks where the project's retry-limit setting is defined and what value it holds. This exercises locating a named setting in code and reporting both its location and value.

    basic-T1 · primary
  • Find the Release Date

    The user asks for the release date mentioned in a project notes document. This exercises reading a specified file and extracting a particular fact rather than guessing from outside knowledge.

    basic-T2 · primary
  • Change the Retry Limit

    The user asks to change the project's retry limit to a specified value. This exercises finding the relevant setting and making a focused code edit rather than merely describing the change.

    basic-T3 · primary
  • Create an Exact One-Line File

    The user asks to create a text file containing exactly one supplied line. This exercises basic file creation and precise instruction following, including avoiding extra text in the file.

    basic-T4 · primary
  • Explain the Latest Commit

    The user asks what the most recent Git commit changed in the project. This exercises inspecting recorded changes and turning them into a clear explanation of what was modified.

    basic-T5 · primary
  • Count and Compare Python Files

    The user asks how many Python files are in the application folder and which is largest. This exercises identifying relevant files, counting them, and comparing their sizes.

    basic-T6 · primary
  • Add Readable Byte Sizes

    The user asks to add a function that converts byte counts into readable sizes and remove the related TODO comment. This exercises implementing a small utility and updating the surrounding code consistently.

    basic-T7 · primary
  • Collect TODO Comments

    The user asks to find every TODO comment in the Python code and append each to the project's task list on a separate line. This combines searching across files with collecting text into an existing document.

    basic-T8 · primary
  • Fix Code Behind a Failing Test

    The user asks to investigate a failing test and fix the application code without changing the test. This exercises diagnosing a bug while respecting an explicit limit on what may be edited.

    basic-H1 · primary
  • Rename a Function Throughout

    The user asks to rename a network function and update every place in the project that uses it. This exercises tracking references across files and making a coordinated change rather than editing only the definition.

    basic-H2 · primary
  • Find the Proxy Settings

    The user asks to find a proxy configuration file somewhere under the project's parent folder and report its host and port. This exercises searching beyond the project folder and reading configuration values.

    basic-H3 · primary
  • Locate an Error in a Log

    The user asks which error code appears in a long event log and on which line. This exercises finding a specific entry in a large file and reporting its precise location.

    basic-H4 · primary
  • Append a Final Task

    The user asks to append a supplied release-related task as the final line of an existing task list. This exercises preserving existing content while adding exact text in the requested position.

    basic-H5 · primary
  • Calculate Total Retry Waiting

    The user asks for the total time a network function spends sleeping when all attempts fail, worked out from the code. This exercises following retry logic and adding the delays along that failure path.

    basic-H6 · primary
  • Document Every Command-Line Option

    The user asks for a project readme listing every command-line option with its help text. This exercises discovering the program's available options and transferring that information into complete, source-grounded documentation.

    basic-H7 · primary
  • Undo a Commit by Editing

    The user asks to undo the latest Git commit's change by editing the file directly, without using Git to make changes. This exercises understanding a previous edit and reversing it under a method constraint.

    basic-H8 · primary
Filters change this list, not the fixed scoring denominator. Search currently covers question IDs, titles and available task explanations. Focus a control to load prompt/outcome search where this edition provides it.

Suggested comparisons

These are starting points for inspection, not claims that one setup is better. Runtime and placement differences remain visible.

Thinking on versus off

Verified requested on/off conditions of the same configuration, matched on the recorded test protocol.

Requested thinking on · Complete compared coverage

Compare these configurations →

Selection rule and evidence IDsPolicy comparisons-v3 · Template verified-thinking-pair
Facts: paired-275359bc26ee77d965569e09
Matching candidate set: paired-275359bc26ee77d965569e09

Qwen2.5 Coder 7B Instruct Q4_K_M

Another checkpoint in the same total-parameter band and architecture category, with matching task controls.

Requested thinking off · Complete compared coverage

Compare these configurations →

Selection rule and evidence IDsPolicy comparisons-v3 · Template same-parameter-architecture-matching-controls
Facts: fact-6d911759dd69ca545ee8be5c, fact-2e2fe4760014b5b180de8620
Matching candidate set: fact-2e2fe4760014b5b180de8620, fact-6808af8c64a1e7875a14e7a6, fact-490482dd62af02e41d2fc20e, fact-f0e7d2286cd806072751d966, fact-eae080b73ed21e846eaa5d1d, fact-ec911e6561843ecc14d3482a, fact-bef3eb6c6baa2d44e3aa0649, fact-5c36b6f6bfeaa5ee466506f6, fact-1eaacebf5d4775d7901754f8, fact-9f9b21c2355c6bdb5b2dd393, fact-3f910f804bc145423c5f4359, fact-9b097653ded9dc087919acf0, fact-e2c619b31f8a88c1472ca60e, fact-e57043e6128b693616991807, fact-bb58072f1c77808045477c91, fact-81703cf46648d0b2de523fad, fact-200d3a80040bda993709f78f, fact-eacdd70113b5633f3f223c12

Tested weights

Q4_0 · 4.59 GB

ggml-org · recorded source

gemma-4-E4B-it-Q4_0.gguf · Exact GGUF file →Historical first-MiB hash only; not a full-file identity.

Explore the answers

Choose a suite to inspect its exact available questions, references and model answers.