Google
availableShows if the model has enough results for an index.Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is a model from Google. 16 benchmarks count toward its score, in 6 categories.
IndexOverall score. 50 is the middle.61.5 ±5.0
CoverageShare of the index weight with results.90%
SpeedOutput tokens per second.90/s
Input / 1MUS dollars per 1M input tokens.$2 batch $1
Output / 1MUS dollars per 1M output tokens.$12 batch $6 US dollars per 1M output tokens in a batch.
ContextMaximum tokens in one request.1.05M
EloLMArena rating and rank.1480 (#16)
50 is the middle of the board. The range shows the doubt in the index. Batch work costs less.
106,951 votes. Elo shows what people prefer. It does not change the score.
CapabilitiesScore per category. 50 is the middle.
50 is the middleResults
16 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result on the index scale. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| AIME | Math | 98.1% | 59.5 | — | 16 Apr 2026 | Vals AI |
| ARC-AGI-1 (semi-private) | Reasoning | 98.0% | 73.5 | — | — | ARC Prize Foundation |
| GPQA Diamond | Knowledge | 95.5% | 66.4 | — | 1 Sept 2026 | Vals AI |
| MMLU Pro | Knowledge | 91.0% | 63.9 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 88.5% | 64.8 | — | 1 Sept 2026 | Vals AI |
| MMMU Pro | Multimodal | 88.2% | 70.9 | — | 1 Sept 2026 | Vals AI |
| SWE-bench | Coding | 78.8% | 60.7 | — | 1 Sept 2026 | Vals AI |
| ARC-AGI-2 (semi-private) | Reasoning | 77.1% | 78.6 | — | — | ARC Prize Foundation |
| Terminal-Bench 2.1 | Agentic | 70.8% | 65.8 | — | 21 Sept 2026 | Vals AI |
| Terminal-Bench 2.0 | Agentic | 67.4% | 70.8 | — | 4 Jun 2026 | Vals AI |
| Vibe Code Bench v1.1 | Coding | 32.0% | 55.5 | OpenHands | 21 Sept 2026 | Vals AI |
| τ²-bench Banking | Agentic | 26.0% | 17.5 | high effort · Sierra | 4 Aug 2026 | Sierra Research |
| ProofBench v1.1 | Math | 26.0% | 59.9 | — | 21 Sept 2026 | Vals AI |
| Code Migration | Coding | 17.3% | 56.0 | — | 21 Sept 2026 | Vals AI |
| Vibe Code Bench 1-100 | Coding | 6.7% | 59.1 | OpenHands | 16 Sept 2026 | Vals AI |
| ARC-AGI-3 (semi-private) | Reasoning | 0.4% | — | — | — | ARC Prize Foundation |
| ProgramBench | Coding | 0.0% | — | — | 21 Sept 2026 | Vals AI |
| Agent Arena steerability | Agentic | -3.6 | 63.4 | — | 15 Sept 2026 | LMArena |
| Agent Arena task outcome | Agentic | -5.5 | 61.2 | — | 15 Sept 2026 | LMArena |
| Agent Arena command recovery | Agentic | -20.4 | 44.4 | — | 15 Sept 2026 | LMArena |
16 benchmarks count, from 18 of 20 results. A grey row does not count. Too few models took that benchmark.