2 vs 0 benchmarks won
Google Gemini 3.0 Pro | Moonshot AI Kimi K2 | |
|---|---|---|
| Overview | ||
| Company | Moonshot AI | |
| Release date | Nov 18 2025 | Jul 11 2025 |
| Model type | — | — |
| Open source | No | Yes |
| Specifications | ||
Parameters | — | 1T |
Context window | — | 128k |
| Benchmarks | ||
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 76.2%Best | 65.8% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 91.9%Best | 75.1% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | 81% | — |
| Timeline | ||
| Release gap | Kimi K2 shipped 130 days before Gemini 3.0 Pro | |
Gemini 3.0 Pro leads Kimi K2 on 2 of the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Kimi K2 shipped 130 days before Gemini 3.0 Pro, so benchmark comparisons should account for the intervening progress.
Kimi K2 is an open-source / open-weight model; Gemini 3.0 Pro is proprietary.
On SWE-Bench Verified, Gemini 3.0 Pro leads at 76.2% vs Kimi K2 at 65.8%. On GPQA Diamond, Gemini 3.0 Pro leads at 91.9% vs Kimi K2 at 75.1%.