Gemini 1.5 Pro (Sept 2024)
ModelActiveby Google · family “gemini-pro-sept”
Epoch Capabilities Index
131.7 #147 of 268
90% CI 126.4 – 133.3
Released
24 Sep 2024
Context window
Unknown
Max output
Unknown
Input $ / 1M tokens
Unknown
Output $ / 1M tokens
Unknown
Cached input $ / 1M
Unknown
Each benchmark shown separately with its own source
Benchmark results (12)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| DTBench | reasoning | 59.0% | 60% | — | — | External ↗ |
| CadEval | coding | 34.0% | 46% | — | — | External ↗ |
| ARC-AGI-2 | reasoning | 0.8% | 1% | — | — | External ↗ |
| HLE | knowledge | 4.6% | 8% | — | — | External ↗ |
| WeirdML | coding | 22.2% ±0.0 | 24% | — | — | External ↗ |
| OTIS Mock AIME 2024-2025 | math | 23.1% ±5.2 | 23% | — | 25 Feb 2025 | Eval log ↗ |
| The Agent Company | agents | 3.4% | 8% | — | — | External ↗ |
| Balrog | games | 21.0% | 31% | — | — | External ↗ |
| SimpleBench | reasoning | 27.1% | 33% | — | — | External ↗ |
| GPQA diamond | science | 57.2% ±2.8 | 60% | — | 27 Jan 2025 | Eval log ↗ |
| MATH level 5 | math | 70.4% ±1.0 | 72% | — | 27 Jan 2025 | Epoch ↗ |
| MMLU | knowledge | 86.9% | 99% | — | — | External ↗ |
Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.
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