Model comparison
DeepSeek-V2.5 (Sep 2024) vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 37.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
DeepSeek
MetaSummary
- They share 16 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 34.8.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Muse Spark | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 50.6 |
| Released | 2024-09-06 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 27 |
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Category by category
Coding Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Muse Spark: 46.2 (#69)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Coding | 1309 | 1481 |
| Aider Polyglot | 17.8% | — |
| SciCode | — | 51.5% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Muse Spark: 35.9 (#67)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1474 |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.04 |
Math Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Muse Spark: 47.8 (#66)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Math | 1288 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Muse Spark: 65.7 (#13)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Expert | 1266 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, Muse Spark: 43.4 (#24)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Muse Spark: 56.1 (#24)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Non-English | 1273 | 1464 |
| LMArena Chinese | 1318 | 1509 |
| LMArena French | 1289 | 1497 |
| LMArena German | 1258 | 1497 |
| LMArena Korean | 1209 | 1459 |
| LMArena Russian | 1289 | 1466 |
| LMArena Spanish | 1248 | 1472 |
| LMArena Japanese | 1228 | — |
Instruction Following Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Muse Spark: 75.9 (#51)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1280 | 1442 |
Long Context Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Muse Spark: 44.4 (#69)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1301 | 1451 |
Writing & Preference Muse Spark leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Muse Spark: 66.0 (#39)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark |
|---|---|---|
| LMArena Text | 1294 | 1474 |
| LMArena Creative Writing | 1285 | 1459 |
| LMArena Multi-Turn | 1297 | 1477 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Muse Spark share?
16 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Muse Spark has 27.