Agentic · tools
VITA-Bench leaderboard
As of 2026-10-07, the highest measured score on VITA-Bench is 47.9% by Qwen3.7 Max. 71 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | K-EXAONE 2.0 | 55.6% | estimated ± 10.7 pp, low confidence |
| 2 | Ornith-1.0-397B | 54.9% | estimated ± 10.7 pp, low confidence |
| 3 | Muse Spark 1.1 | 51.3% | estimated ± 9.9 pp, low confidence |
| 4 | Claude Opus 5 | 50.4% | estimated ± 9.9 pp, low confidence |
| 5 | Step 5 Preview | 50.3% | estimated ± 9.9 pp, low confidence |
| 6 | Kimi K3 | 49.8% | estimated ± 9.9 pp, low confidence |
| 7 | Hy4 preview | 49.6% | estimated ± 9.9 pp, low confidence |
| 8 | Gemini 3.5 Flash | 49.6% | estimated ± 9.9 pp, low confidence |
| 9 | Claude Opus 4.8 | 49.0% | estimated ± 9.9 pp, low confidence |
| 10 | Ornith-1.5-397B | 48.2% | estimated ± 9.9 pp, low confidence |
| 11 | Inkling-Small | 48.0% | estimated ± 9.9 pp, low confidence |
| 12 | Qwen3.7 Max | 47.9% | measured |
| 13 | Beam | 47.7% | estimated ± 9.9 pp, low confidence |
| 14 | Claude Opus 4.7 (Adaptive) | 47.1% | estimated ± 9.9 pp, low confidence |
| 15 | GLM-5.2 | 46.9% | estimated ± 9.9 pp, low confidence |
| 16 | Ornith-1.0-35B | 46.9% | estimated ± 10.7 pp, low confidence |
| 17 | Kimi K2.7 Code | 46.6% | estimated ± 9.9 pp, low confidence |
| 18 | Atria Dawn Preview | 46.6% | estimated ± 9.9 pp, low confidence |
| 19 | GPT-5.6 Sol | 46.6% | estimated ± 9.9 pp, low confidence |
| 20 | GPT-6 Astra | 46.5% | estimated ± 9.9 pp, low confidence |
| 21 | Muse Glimmer 30B | 46.4% | estimated ± 9.9 pp, low confidence |
| 22 | GPT-5.5 Pro | 46.3% | estimated ± 9.9 pp, low confidence |
| 23 | GPT-5.5 | 46.3% | estimated ± 9.9 pp, low confidence |
| 24 | GPT-5.4 Pro | 46.2% | estimated ± 9.9 pp, low confidence |
| 25 | Claude Mythos 5 | 46.1% | estimated ± 9.9 pp, low confidence |
| 26 | GPT-5.6 Terra | 46.0% | estimated ± 9.9 pp, low confidence |
| 27 | MiniMax M3 | 45.9% | estimated ± 9.9 pp, low confidence |
| 28 | Inkling | 45.8% | estimated ± 9.9 pp, low confidence |
| 29 | DeepSeek V4 Pro 0813 | 45.6% | estimated ± 9.9 pp, low confidence |
| 30 | Qwen3.7 Plus | 45.6% | measured |
| 31 | Claude Sonnet 5 | 45.6% | estimated ± 9.9 pp, low confidence |
| 32 | Claude Opus 4.6 | 45.4% | estimated ± 9.9 pp, low confidence |
| 33 | dots3-note Preview | 45.3% | estimated ± 9.9 pp, low confidence |
| 34 | GPT-5.6 Luna | 45.3% | estimated ± 9.9 pp, low confidence |
| 35 | Claude Sonnet 4.6 | 44.9% | estimated ± 10.7 pp, low confidence |
| 36 | GLM-5.1 | 44.9% | estimated ± 9.9 pp, low confidence |
| 37 | GPT-5.4 | 44.3% | estimated ± 9.9 pp, low confidence |
| 38 | Qwen3.6 Plus | 44.3% | measured |
| 39 | Ornith-1.5-35B-A3B | 44.2% | estimated ± 9.9 pp, low confidence |
| 40 | Qwen3.5 397B | 43.7% | measured |
| 41 | DeepSeek V4 Flash 0731 | 43.7% | estimated ± 9.9 pp, low confidence |
| 42 | Step 3.7 Flash | 43.4% | estimated ± 9.9 pp, low confidence |
| 43 | Ling 3.0 Flash | 42.1% | estimated ± 9.9 pp, low confidence |
| 44 | Qwen 3.6 Max (preview) | 41.6% | estimated ± 8.2 pp, low confidence |
| 45 | MiMo-V2.5-Pro | 41.0% | estimated ± 10.7 pp, low confidence |
| 46 | Muse Spark | 41.0% | estimated ± 10.7 pp, low confidence |
| 47 | Ornith-1.0-9B | 40.3% | estimated ± 10.7 pp, low confidence |
| 48 | Agents-A1-4B | 40.3% | measured |
| 49 | Solar Pro 4 | 40.3% | estimated ± 9.9 pp, low confidence |
| 50 | LFM2.5-2.6B | 40.1% | estimated ± 10.7 pp, low confidence |
| 51 | MiMo-V2.5 | 39.6% | estimated ± 10.7 pp, low confidence |
| 52 | Kimi K2.5 | 38.9% | estimated ± 8.2 pp, low confidence |
| 53 | GLM-5 | 38.8% | estimated ± 8.2 pp, low confidence |
| 54 | Agents-A1 | 38.8% | measured |
| 55 | Solar Open 2 | 38.7% | estimated ± 9.9 pp, low confidence |
| 56 | GPT-5.4 mini | 38.5% | estimated ± 9.9 pp, low confidence |
| 57 | GPT-5.2 | 38.4% | estimated ± 9.9 pp, low confidence |
| 58 | Qwen3.6-27B | 38.4% | estimated ± 8.2 pp, low confidence |
| 59 | GPT-5.4 nano | 37.7% | estimated ± 9.9 pp, low confidence |
| 60 | Kimi K2.6 | 37.6% | estimated ± 9.9 pp, low confidence |
| 61 | Qwen3.5-122B-A10B | 36.9% | estimated ± 9.9 pp, low confidence |
| 62 | Ornith-1.5-9B | 36.8% | estimated ± 9.9 pp, low confidence |
| 63 | Qwen3.6-35B-A3B | 35.6% | measured |
| 64 | Gemini 3.1 Pro | 35.6% | estimated ± 10.7 pp, low confidence |
| 65 | MiMo-V2-Pro | 35.6% | estimated ± 10.7 pp, low confidence |
| 66 | LLaDA2.2-mini | 35.0% | estimated ± 10.7 pp, low confidence |
| 67 | Qwen3.5-27B | 34.5% | estimated ± 9.9 pp, low confidence |
| 68 | Qwen3.5-35B-A3B | 34.5% | estimated ± 9.9 pp, low confidence |
| 69 | Kimi K2.5 (Reasoning) | 34.1% | estimated ± 9.9 pp, low confidence |
| 70 | GLM-5-Turbo | 33.9% | estimated ± 10.7 pp, low confidence |
| 71 | LLaDA2.2-flash | 32.6% | estimated ± 9.9 pp, low confidence |
| 72 | GLM-5V-Turbo | 32.2% | estimated ± 10.7 pp, low confidence |
| 73 | Gemini 3 Flash | 28.6% | estimated ± 10.7 pp, low confidence |
| 74 | MiniMax M2.7 | 28.2% | estimated ± 10.7 pp, low confidence |
| 75 | MiMo-V2-Omni | 25.6% | estimated ± 10.7 pp, low confidence |
| 76 | Claude Opus 4.5 | 23.3% | measured |
| 77 | LongCat-Flash-Lite-Sparse | 21.7% | measured |
| 78 | DeepSeek V3.2 | 18.5% | measured |
| 79 | Claude Sonnet 4.5 | 17.0% | measured |
| 80 | GLM-4.7 | 15.5% | measured |
| 81 | Nemotron 3 Ultra | 13.1% | estimated ± 9.9 pp, low confidence |
| 82 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 5.2% | estimated ± 9.9 pp, low confidence |
| 83 | Nemotron 3 Super 100B | 2.5% | estimated ± 10.7 pp, low confidence |
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