DeepSeek DeepSeek-Math vs Meta Muse Spark — side-by-side specs.
DeepSeek DeepSeek-Math | Meta Muse Spark | |
|---|---|---|
| Overview | ||
| Company | DeepSeek | Meta |
| Release date | Apr 3 2024 | Apr 8 2026 |
| Model type | — | — |
| Open source | Yes | 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. | — | 77.4% |
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% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | — | 80.4% |
| Timeline | ||
| Release gap | DeepSeek-Math shipped 735 days before Muse Spark | |
DeepSeek-Math and Muse Spark don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-Math shipped 735 days before Muse Spark, so benchmark comparisons should account for the intervening progress.
DeepSeek-Math is an open-source / open-weight model; Muse Spark is proprietary.
Direct benchmark comparisons are unavailable — DeepSeek-Math and Muse Spark don't publish scores on any of the same benchmarks.