Model comparison
DeepSeek-V3.2-Speciale vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MetaSummary
- The widest gap is in writing & preference, where Muse Spark leads 66.0 to 46.0.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Muse Spark | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 39.7 | 50.6 |
| Released | 2025-12-01 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 27 |
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Category by category
Coding Muse Spark leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Muse Spark: 46.2 (#69)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| SciCode | — | 51.5% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1481 |
Reasoning Muse Spark leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Muse Spark: 35.9 (#67)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 11.3% |
| LMArena Hard Prompts | — | 1474 |
| Epoch Capabilities Index | — | 152.04 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 47.8 (#66)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| LMArena Math | — | 1455 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 65.7 (#13)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| LMArena Expert | — | 1457 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 43.4 (#24)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 56.1 (#24)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| LMArena Non-English | — | 1464 |
| LMArena Chinese | — | 1509 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1459 |
| LMArena Russian | — | 1466 |
| LMArena Spanish | — | 1472 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 75.9 (#51)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| LMArena Instruction Following | — | 1442 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Muse Spark: 44.4 (#69)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| LMArena Longer Query | — | 1451 |
Writing & Preference Muse Spark leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Muse Spark: 66.0 (#39)
| Benchmark | DeepSeek-V3.2-Speciale | Muse Spark |
|---|---|---|
| LMArena Text | — | 1474 |
| LMArena Creative Writing | — | 1459 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1477 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 39.7 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Muse Spark share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Muse Spark has 27.