DeepSeek-V3.2-Exp vs Muse Spark
DeepSeek-V3.2-Exp (DeepSeek) and Muse Spark (Meta AI) compared on benchmarks, pricing, context window, and use-case rankings.
- Muse Spark leads on overall intelligence (ECI 154 vs 145).
- Muse Spark ranks higher for coding (79th vs 35th percentile).
| Attribute | DeepSeek-V3.2-Exp | Muse Spark |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 145 | 154 |
| Coding | 35 | 79 |
| Math | 43 | 66 |
| Reasoning & Knowledge | 36 | 84 |
| Agentic & Tools | 9 | 64 |
| Specifications | ||
| Developer | DeepSeek | Meta AI |
| Family | DeepSeek | — |
| Released | Sep 29, 2025 | Apr 8, 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% | 89% |
| GPQA Diamond | 80% | 90% |
| Humanity's Last Exam | 14% | 41% |
| LiveCodeBench | 79% | — |
| MMLU-Pro | 85% | — |
| SciCode | 38% | 52% |
| WebDev Arena | 1367 | 1513 |
| WeirdML | 39% | — |
| τ²-bench | 34% | 92% |
| FrontierMath | — | 39% |
| FrontierMath Tier 4 | — | 15% |
| SimpleQA Verified | — | 66% |
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.
Frequently asked questions
Is DeepSeek-V3.2-Exp better than Muse Spark?
On Epoch AI's Capabilities Index, Muse Spark scores higher (154) than DeepSeek-V3.2-Exp (145). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is better for coding, DeepSeek-V3.2-Exp or Muse Spark?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Muse Spark ranks higher — 79th vs 35th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.