2 vs 0 benchmarks won
Meta Muse Spark | Moonshot AI Kimi K2 | |
|---|---|---|
| Overview | ||
| Company | Meta | Moonshot AI |
| Release date | Apr 8 2026 | 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. | 77.4%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. | 89.5%Best | 75.1% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | 80.4% | — |
| Timeline | ||
| Release gap | Kimi K2 shipped 271 days before Muse Spark | |
Muse Spark leads Kimi K2 on 2 of the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Kimi K2 shipped 271 days before Muse Spark, so benchmark comparisons should account for the intervening progress.
Kimi K2 is an open-source / open-weight model; Muse Spark is proprietary.
On SWE-Bench Verified, Muse Spark leads at 77.4% vs Kimi K2 at 65.8%. On GPQA Diamond, Muse Spark leads at 89.5% vs Kimi K2 at 75.1%.