2 vs 1 benchmarks won
Google Gemini 3.0 Pro | Meta Muse Spark | |
|---|---|---|
| Overview | ||
| Company | Meta | |
| Release date | Nov 18 2025 | Apr 8 2026 |
| Model type | — | — |
| Open source | No | No |
| Specifications | ||
Parameters | — | — |
Context window | — | — |
| 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% | 77.4%Best |
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 | 89.5% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | 81%Best | 80.4% |
| Timeline | ||
| Release gap | Gemini 3.0 Pro shipped 141 days before Muse Spark | |
Gemini 3.0 Pro leads Muse Spark on 2 of the 3 benchmarks they both report (SWE-Bench Verified, GPQA Diamond, MMMU). Gemini 3.0 Pro shipped 141 days before Muse Spark, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On SWE-Bench Verified, Muse Spark leads at 77.4% vs Gemini 3.0 Pro at 76.2%. On GPQA Diamond, Gemini 3.0 Pro leads at 91.9% vs Muse Spark at 89.5%. On MMMU, Gemini 3.0 Pro leads at 81% vs Muse Spark at 80.4%.