Gemini-3.1-Pro
91.2%
no interval published
aiqbench · LLM benchmarks
91.2%
no interval published
90.1%
no interval published
89.3%
no interval published
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Gemini-3.1-Pro | — | — | — | 91.2% | — | — | ||
| 2 | Gemini-3-Pro(11/25) | — | Jan 2026 | — | 90.1% | — | #23–90 | ||
| 3 | GPT-o1 | — | — | — | 89.3% | — | — | ||
| 4 | Claude-4.6-Opus(Thinking) | — | — | $5 / $25 | 89.1% | — | — | ||
| 5 | Gemini-3-Flash(12/25) | — | Jan 2026 | — | 88.6% | — | #38–153 | ||
| 6 | MiniMax-M2.1 | — | Dec 2025 | $0.30 / $1.20 | 88.0% | — | #34–201 | ||
| 7 | Qwen3.5-397B-A17B | — | Feb 2026 | $0.50 / $3.60 | 87.8% | — | #63–174 | ||
| 8 | Seed2.0-Lite | — | — | — | 87.7% | — | — | ||
| 9 | GPT-5.4 | — | Sep 2026 | $2.50 / $15 | 87.5% | — | #12–29 | ||
| 10 | Claude-4.5-Sonnet(Thinking) | — | — | $3 / $15 | 87.4% | — | — | ||
| 11 | GPT-5.2 | — | Dec 2025 | $1.75 / $14 | 87.4% | — | #34–92 | ||
| 12 | Claude-4-Opus-Thinking | — | — | — | 87.3% | — | — | ||
| 13 | Claude-4.5-Opus(Thinking) | — | — | $5 / $25 | 87.3% | — | — | ||
| 14 | Claude-4.6-Sonnet(Thinking) | — | — | $3 / $15 | 87.3% | — | — | ||
| 15 | Hunyuan-T1 | — | Jul 2025 | — | 87.2% | — | #152–359 | ||
| 16 | GPT-5(high) | — | Aug 2025 | $1.25 / $10 | 87.1% | — | #64–149 | ||
| 17 | K2.5-1T-A32B | — | — | — | 87.1% | — | — | ||
| 18 | Grok-4 | — | — | — | 87.0% | — | — | ||
| 19 | Seed-Thinking-v1.5 | — | — | — | 87.0% | — | — | ||
| 20 | Seed2.0-Pro | — | — | — | 87.0% | — | — | ||
| 21 | Qwen3.5-122B-A10B | — | Feb 2026 | $0.26 / $2.08 | 86.7% | — | #105–367 | ||
| 22 | Seed1.6-Base | — | — | — | 86.6% | — | — | ||
| 23 | Seed1.6-Thinking | — | — | — | 86.6% | — | — | ||
| 24 | GPT-5.1 | — | Nov 2025 | $1.25 / $10 | 86.4% | — | #45–242 | ||
| 25 | Seed1.6-Ada-Thinking | — | — | — | 86.4% | — | — | ||
| 26 | Gemini-3.1-Flash-Lite-Preview | — | Oct 2026 | $0.25 / $1.50 | 86.2% | — | #109–350 | ||
| 27 | GPT-4.5 | — | — | — | 86.1% | — | — | ||
| 28 | Qwen3.5-27B | — | Feb 2026 | $0.26 / $2.60 | 86.1% | — | #109–442 | ||
| 29 | Gemini-2.5-Pro | — | Jun 2025 | $1.25 / $10 | 86.0% | — | #60–432 | ||
| 30 | GLM-5 | — | Feb 2026 | $1 / $3.20 | 86.0% | — | #57–153 | ||
| 31 | Qwen3-Max-Thinking | — | — | $0.78 / $3.90 | 85.7% | — | — | ||
| 32 | Qwen3.5-35B-A3B | — | Feb 2026 | $0.15 / $1 | 85.3% | — | #134–455 | ||
| 33 | DeepSeek-V3.2-Thinking | — | Oct 2026 | — | 85.0% | — | #103–345 | ||
| 34 | GPT-o3-high | — | — | — | 85.0% | — | — | ||
| 35 | DeepSeek-V3.1-Thinking | — | Oct 2026 | — | 84.8% | — | #106–291 |
Showing MMLU-Pro (TIGER-Lab) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.