Independent benchmark · EQ Lab
Conversational style
How models tend to respond across conversations.
These are style tendencies, not quality scores: higher is not better. They use the upstream traits rubric and are not part of the rating.
Each score is a mean from 0 to 10, averaged across conversations. Both judges assess each conversation. Partial results are marked in progress.
Open a model for detailed style profiles and uncertainty intervals.
Trait heatmaps · 0 (less) 10 (more). More is not better. Traits do not affect ratings. Missing scores are —.
Agreeableness and pushback
| Model | Pushback | Yields under pressure | Frame capture (pulled into the person's version) | Validation | Boundary setting |
|---|---|---|---|---|---|
| GPT-6 Astra (subscription)24/48 assessments | 4.1 | 5.8 | 4.4 | 5.8 | 4.7 |
| DeepSeek V4.1 Flash 1017 (API, Morph FP8)24/48 assessments | 4.9 | 5.5 | 4.5 | 6.6 | 3.8 |
| Claude Haiku 5.5 (API, Anthropic)24/48 assessments | 5.1 | 5.8 | 4.0 | 6.5 | 4.1 |
| GPT-5.6 Luna (API)24/48 assessments | 3.6 | 6.6 | 5.3 | 6.2 | 3.9 |
| Mistral Large 4 (API, Mistral)24/48 assessments | 4.0 | 6.5 | 5.5 | 7.1 | 3.1 |
| Qwen3.8 Flash (API, Alibaba; precision undisclosed)24/48 assessments | 4.2 | 6.4 | 5.6 | 7.3 | 3.2 |
| Qwen3.8 27B (API)24/48 assessments | 3.2 | 7.1 | 6.3 | 7.4 | 2.6 |
| Gemini 3.8 Flash (API, Google AI Studio)24/48 assessments | 3.3 | 7.3 | 6.3 | 7.5 | 2.6 |
| Nemotron 3.5 Super VL 120B-A12B (API, Prime Intellect NVFP4)24/48 assessments | 3.5 | 6.7 | 6.1 | 7.0 | 2.7 |
| Ternary Bonsai 2 27B PTQ1_024/48 assessments | 3.0 | 7.5 | 6.5 | 7.4 | 2.7 |
| Muse Glimmer 30B (API, DeepInfra BF16)24/48 assessments | 2.6 | 7.6 | 6.5 | 7.8 | 2.0 |
| Nemotron 3.5 Bolt 74B-A9B UD-Q4_K_XL24/48 assessments | 3.2 | 7.0 | 6.5 | 7.0 | 2.8 |
| Gemma 4 31B (API)24/48 assessments | 2.8 | 7.2 | 6.7 | 7.2 | 2.4 |
| Qwen3.8 27B GSQ-RCO IQ2_S24/48 assessments | 3.4 | 6.7 | 6.2 | 6.9 | 3.0 |
| Ornith 1.5 35B-A3B Q5_K_M24/48 assessments | 5.1 | 6.6 | 5.0 | 7.4 | 3.5 |
| Flash-Next IQ324/48 assessments | 3.8 | 7.2 | 6.0 | 8.2 | 3.2 |
| Claude Haiku 4.5 (API)24/48 assessments | 5.9 | 5.6 | 4.2 | 6.1 | 3.8 |
| Gemma 4 26B-A4B24/48 assessments | 2.7 | 7.3 | 6.8 | 7.3 | 2.3 |
| Qwen3.6 27B (API)24/48 assessments | 2.8 | 8.0 | 7.0 | 8.3 | 2.1 |
| Nemotron 3.5 Bolt 74B-A9B 24GB IQ2 (NVIDIA)24/48 assessments | 3.1 | 7.7 | 6.6 | 7.2 | 2.4 |
| Kolibri-1 Q4_K_M24/48 assessments | 3.1 | 6.8 | 5.7 | 6.7 | 2.3 |
| Gemma 4 12B24/48 assessments | 2.3 | 7.4 | 6.9 | 8.2 | 1.8 |
| GPT-4.1 (API, OpenAI)24/48 assessments | 1.7 | 7.9 | 7.1 | 8.1 | 1.7 |
| Qwen3.5 122B-A10B stock Q4_K_M21/48 assessments | 2.8 | 8.0 | 7.4 | 8.0 | 2.0 |
| Mistral Medium 3.5 (API)24/48 assessments | 2.9 | 7.1 | 6.4 | 7.0 | 1.6 |
| Qwen3.6 35B-A3B24/48 assessments | 2.5 | 7.5 | 7.1 | 8.0 | 1.8 |
| Mistral Small 4 119B (API, Mistral)24/48 assessments | 2.7 | 7.1 | 6.5 | 7.0 | 1.7 |
| Nemotron 3.5 Lightning 30B-A3B Q4_024/48 assessments | 2.6 | 7.9 | 6.9 | 7.4 | 1.9 |
| Gemma 4 12B Blorbo v0b Q4_K_M24/48 assessments | 3.8 | 6.0 | 5.5 | 6.0 | 2.3 |
| GLM-4.7-Flash Q4_K_M24/48 assessments | 2.4 | 7.4 | 7.3 | 7.6 | 1.6 |
| Llama 4 Maverick (API, Parasail FP8)24/48 assessments | 2.2 | 7.2 | 6.5 | 6.9 | 2.0 |
| Llama 3.3 70B Instruct (API, DeepInfra FP8)24/48 assessments | 2.9 | 7.2 | 6.2 | 7.6 | 1.7 |
| Ornith 1.5 9B Q4_K_M24/48 assessments | 5.0 | 6.5 | 5.6 | 6.8 | 2.8 |
| Qwen3.5 122B-A10B abliterated v2 Q4_K_M24/48 assessments | 2.7 | 7.5 | 7.1 | 7.2 | 1.5 |
| Gemma 4 E4B24/48 assessments | 2.5 | 7.6 | 6.9 | 8.2 | 2.0 |
| Qwen3.5 9B EQ v5.1 Q4_K_M23/48 assessments | 2.9 | 7.2 | 6.5 | 7.5 | 1.6 |
| Ministral 3 14B24/48 assessments | 3.1 | 7.0 | 6.9 | 7.5 | 2.0 |
| GPT-OSS 120B stock (API, Near AI FP4)24/48 assessments | 2.1 | 6.9 | 6.6 | 7.0 | 1.5 |
| Qwen3.5 9B22/48 assessments | 2.8 | 8.1 | 7.2 | 8.1 | 2.0 |
| GPT-OSS 20B MXFP4 (local)24/48 assessments | 1.4 | 6.7 | 6.6 | 7.1 | 1.6 |
| Qwen3.5 4B Q4_K_M19/48 assessments | 2.4 | 7.8 | 6.9 | 7.9 | 1.5 |
| Gemma 4 E2B Q8_024/48 assessments | 2.1 | 7.3 | 6.5 | 8.4 | 1.8 |
| Mistral Nemo Instruct 2407 Q4_K_M24/48 assessments | 1.5 | 6.7 | 6.2 | 7.0 | 1.2 |
| LFM2.5 8B-A1B Q4_024/48 assessments | 1.6 | 7.6 | 7.0 | 6.6 | 1.3 |
| Magnum v4 12B Q4_K_M24/48 assessments | 1.8 | 7.5 | 6.6 | 9.0 | 1.5 |
| Ling 3.0 Tiny Q4_024/48 assessments | 2.5 | 7.2 | 6.5 | 7.3 | 1.3 |
| Granite 4.2 8B Q4_024/48 assessments | 1.6 | 8.4 | 7.2 | 8.7 | 1.3 |
| Stheno v3.4 Llama 3.1 8B Q6_K24/48 assessments | 2.0 | 7.6 | 7.0 | 8.6 | 1.7 |
| GPT-OSS 120B abliterated Q4_K_M24/48 assessments | 1.4 | 5.3 | 6.8 | 4.4 | 1.1 |
| MedGemma 1.5 4B IT Q4_K_M19/48 assessments | 1.7 | 7.6 | 6.4 | 8.2 | 1.3 |
| Claude Opus 5.5 (subscription, medium effort)0/48 assessments | — | — | — | — | — |
| Qwen3.8 Flash Next IQ3_XXS (Strata)0/48 assessments | — | — | — | — | — |
| Qwen3.8 Flash Next UD-Q4_K_XL (Strata)0/48 assessments | — | — | — | — | — |
Other tendencies
| Model | Analytical | Interpretive boldness | Clinical register | Directive advice | Escalation containment | Adapts to the person’s frame | Naturalness and authenticity |
|---|---|---|---|---|---|---|---|
| GPT-6 Astra (subscription)24/48 assessments | 4.6 | 3.5 | 4.4 | 6.4 | 6.8 | 6.8 | 6.4 |
| DeepSeek V4.1 Flash 1017 (API, Morph FP8)24/48 assessments | 5.5 | 5.5 | 3.9 | 6.0 | 6.2 | 7.1 | 6.2 |
| Claude Haiku 5.5 (API, Anthropic)24/48 assessments | 5.3 | 5.1 | 5.2 | 6.3 | 6.6 | 5.9 | 5.5 |
| GPT-5.6 Luna (API)24/48 assessments | 5.0 | 3.8 | 5.8 | 7.1 | 6.2 | 5.7 | 5.0 |
| Mistral Large 4 (API, Mistral)24/48 assessments | 4.8 | 4.8 | 4.0 | 4.8 | 5.9 | 6.5 | 5.8 |
| Qwen3.8 Flash (API, Alibaba; precision undisclosed)24/48 assessments | 5.5 | 5.7 | 4.7 | 5.3 | 6.0 | 6.2 | 5.3 |
| Qwen3.8 27B (API)24/48 assessments | 4.8 | 4.4 | 4.7 | 5.8 | 5.9 | 6.3 | 5.4 |
| Gemini 3.8 Flash (API, Google AI Studio)24/48 assessments | 4.8 | 4.6 | 4.5 | 5.5 | 5.9 | 6.1 | 5.4 |
| Nemotron 3.5 Super VL 120B-A12B (API, Prime Intellect NVFP4)24/48 assessments | 3.5 | 4.0 | 4.5 | 4.3 | 5.3 | 5.6 | 5.3 |
| Ternary Bonsai 2 27B PTQ1_024/48 assessments | 4.7 | 4.3 | 4.8 | 6.2 | 5.7 | 5.9 | 5.0 |
| Muse Glimmer 30B (API, DeepInfra BF16)24/48 assessments | 3.6 | 3.6 | 5.1 | 3.3 | 5.5 | 5.8 | 4.8 |
| Nemotron 3.5 Bolt 74B-A9B UD-Q4_K_XL24/48 assessments | 4.1 | 3.8 | 5.0 | 5.0 | 5.4 | 5.3 | 5.0 |
| Gemma 4 31B (API)24/48 assessments | 4.4 | 4.0 | 5.0 | 4.7 | 5.0 | 5.0 | 4.7 |
| Qwen3.8 27B GSQ-RCO IQ2_S24/48 assessments | 5.8 | 4.1 | 5.6 | 6.7 | 6.0 | 5.6 | 4.7 |
| Ornith 1.5 35B-A3B Q5_K_M24/48 assessments | 5.4 | 6.2 | 4.8 | 5.1 | 6.0 | 5.7 | 4.8 |
| Flash-Next IQ324/48 assessments | 6.0 | 6.6 | 4.8 | 5.6 | 6.1 | 5.4 | 4.3 |
| Claude Haiku 4.5 (API)24/48 assessments | 5.6 | 6.0 | 5.2 | 5.0 | 5.6 | 4.9 | 5.3 |
| Gemma 4 26B-A4B24/48 assessments | 4.2 | 3.5 | 5.6 | 4.3 | 5.6 | 5.1 | 4.5 |
| Qwen3.6 27B (API)24/48 assessments | 4.8 | 3.8 | 6.4 | 5.4 | 5.5 | 4.9 | 3.8 |
| Nemotron 3.5 Bolt 74B-A9B 24GB IQ2 (NVIDIA)24/48 assessments | 3.9 | 3.7 | 5.2 | 4.1 | 5.3 | 4.8 | 4.6 |
| Kolibri-1 Q4_K_M24/48 assessments | 2.9 | 3.3 | 5.8 | 3.6 | 5.1 | 4.0 | 3.9 |
| Gemma 4 12B24/48 assessments | 5.0 | 4.0 | 6.5 | 3.9 | 5.0 | 4.3 | 3.6 |
| GPT-4.1 (API, OpenAI)24/48 assessments | 2.7 | 2.6 | 5.6 | 4.0 | 5.1 | 4.5 | 4.0 |
| Qwen3.5 122B-A10B stock Q4_K_M21/48 assessments | 4.3 | 4.0 | 6.0 | 4.5 | 5.6 | 5.0 | 3.9 |
| Mistral Medium 3.5 (API)24/48 assessments | 2.9 | 3.4 | 5.0 | 4.9 | 5.0 | 4.4 | 4.4 |
| Qwen3.6 35B-A3B24/48 assessments | 4.9 | 3.6 | 6.9 | 5.4 | 5.4 | 4.5 | 3.4 |
| Mistral Small 4 119B (API, Mistral)24/48 assessments | 2.5 | 3.0 | 5.3 | 4.0 | 4.8 | 4.2 | 4.0 |
| Nemotron 3.5 Lightning 30B-A3B Q4_024/48 assessments | 4.0 | 3.8 | 5.6 | 3.7 | 4.9 | 4.8 | 4.0 |
| Gemma 4 12B Blorbo v0b Q4_K_M24/48 assessments | 4.1 | 3.6 | 5.7 | 4.8 | 4.9 | 4.1 | 4.0 |
| GLM-4.7-Flash Q4_K_M24/48 assessments | 3.5 | 3.6 | 4.9 | 4.5 | 4.6 | 4.2 | 4.0 |
| Llama 4 Maverick (API, Parasail FP8)24/48 assessments | 3.1 | 2.8 | 6.8 | 4.4 | 5.3 | 3.7 | 3.1 |
| Llama 3.3 70B Instruct (API, DeepInfra FP8)24/48 assessments | 3.8 | 3.5 | 7.1 | 4.6 | 4.9 | 3.3 | 2.9 |
| Ornith 1.5 9B Q4_K_M24/48 assessments | 6.2 | 6.5 | 5.5 | 5.8 | 5.0 | 4.8 | 4.0 |
| Qwen3.5 122B-A10B abliterated v2 Q4_K_M24/48 assessments | 4.6 | 4.5 | 5.6 | 4.1 | 5.2 | 4.4 | 3.7 |
| Gemma 4 E4B24/48 assessments | 5.0 | 3.8 | 7.7 | 5.5 | 5.0 | 3.5 | 2.8 |
| Qwen3.5 9B EQ v5.1 Q4_K_M23/48 assessments | 5.2 | 5.2 | 6.0 | 3.3 | 4.6 | 4.7 | 3.1 |
| Ministral 3 14B24/48 assessments | 4.5 | 4.8 | 5.1 | 5.9 | 4.8 | 4.3 | 3.4 |
| GPT-OSS 120B stock (API, Near AI FP4)24/48 assessments | 4.9 | 3.3 | 7.6 | 7.7 | 5.3 | 3.5 | 2.7 |
| Qwen3.5 9B22/48 assessments | 4.1 | 4.1 | 6.2 | 5.2 | 5.0 | 3.7 | 2.8 |
| GPT-OSS 20B MXFP4 (local)24/48 assessments | 4.3 | 2.0 | 7.5 | 7.4 | 5.2 | 3.0 | 2.3 |
| Qwen3.5 4B Q4_K_M19/48 assessments | 4.1 | 4.3 | 6.7 | 3.5 | 4.6 | 3.6 | 2.5 |
| Gemma 4 E2B Q8_024/48 assessments | 4.8 | 3.7 | 7.9 | 4.6 | 5.0 | 2.9 | 2.5 |
| Mistral Nemo Instruct 2407 Q4_K_M24/48 assessments | 2.3 | 1.6 | 7.5 | 4.6 | 4.7 | 2.5 | 1.8 |
| LFM2.5 8B-A1B Q4_024/48 assessments | 2.4 | 2.1 | 7.5 | 4.9 | 4.5 | 2.5 | 2.1 |
| Magnum v4 12B Q4_K_M24/48 assessments | 2.8 | 2.6 | 7.6 | 6.2 | 4.9 | 2.4 | 1.9 |
| Ling 3.0 Tiny Q4_024/48 assessments | 3.2 | 3.9 | 7.2 | 3.8 | 4.3 | 2.7 | 2.1 |
| Granite 4.2 8B Q4_024/48 assessments | 4.1 | 2.1 | 7.9 | 6.6 | 5.4 | 3.1 | 1.9 |
| Stheno v3.4 Llama 3.1 8B Q6_K24/48 assessments | 3.5 | 2.6 | 7.8 | 6.8 | 4.2 | 2.5 | 1.8 |
| GPT-OSS 120B abliterated Q4_K_M24/48 assessments | 4.5 | 1.9 | 6.7 | 7.8 | 4.1 | 2.7 | 2.3 |
| MedGemma 1.5 4B IT Q4_K_M19/48 assessments | 3.3 | 1.9 | 8.5 | 3.9 | 3.7 | 1.8 | 0.9 |
| Claude Opus 5.5 (subscription, medium effort)0/48 assessments | — | — | — | — | — | — | — |
| Qwen3.8 Flash Next IQ3_XXS (Strata)0/48 assessments | — | — | — | — | — | — | — |
| Qwen3.8 Flash Next UD-Q4_K_XL (Strata)0/48 assessments | — | — | — | — | — | — | — |