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DeepSeek-V3.2-Exp vs Gemini 3.1 Pro
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| Attribute | DeepSeek-V3.2-Exp | Gemini 3.1 Pro |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 145 | 155 |
| Coding | 33 | 62 |
| Math | 40 | 72 |
| Reasoning & Knowledge | 34 | 94 |
| Agentic & Tools | 9 | 81 |
| Specifications | ||
| Developer | DeepSeek | Google DeepMind |
| Family | DeepSeek | Gemini |
| Released | Sep 29, 2025 | Feb 19, 2026 |
| Parameters | — | — |
| Availability | Open weights (unrestricted) | API access |
| Context window | 164K | — |
| Price — $/M input | $0.27 | — |
| Price — $/M output | $0.41 | — |
| Inputs | text | — |
| Outputs | text | — |
| Benchmarks | ||
| AIME 2024/2025 | 88% | 96% |
| GPQA Diamond | 80% | 94% |
| Humanity's Last Exam | 14% | 46% |
| LiveCodeBench | 79% | — |
| MMLU-Pro | 85% | — |
| SciCode | 38% | — |
| WebDev Arena | 1367 | 1461 |
| WeirdML | 39% | 72% |
| τ²-bench | 34% | — |
| APEX | — | 34% |
| ARC-AGI | — | 98% |
| ARC-AGI-2 | — | 77% |
| FrontierMath | — | 37% |
| FrontierMath Tier 4 | — | 17% |
| GSO (code optimization) | — | 23% |
| METR task horizon | — | 6.4 h |
| SimpleBench | — | 80% |
| SimpleQA Verified | — | 77% |
| SWE-bench Verified | — | 76% |
| Terminal-Bench | — | 80% |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.