Model comparison
Deepseek Coder v2 vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Deepseek Coder v2 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 32.3.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Muse Spark | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | 50.6 |
| Released | 2024-06-17 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 27 |
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Category by category
Coding Muse Spark leads
Deepseek Coder v2: 38.1 (#183), Muse Spark: 46.2 (#69)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Coding | 1251 | 1481 |
| SciCode | — | 51.5% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Muse Spark leads
Deepseek Coder v2: 23.6 (#176), Muse Spark: 35.9 (#67)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1474 |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.04 |
| WinoGrande | 83.7% | — |
Math Muse Spark leads
Deepseek Coder v2: 34.9 (#190), Muse Spark: 47.8 (#66)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Math | 1241 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
| GSM8K | 94.5% | — |
Knowledge Muse Spark leads
Deepseek Coder v2: 32.3 (#212), Muse Spark: 65.7 (#13)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Expert | 1181 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, Muse Spark: 43.4 (#24)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
Deepseek Coder v2: 36.3 (#240), Muse Spark: 56.1 (#24)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1182 | 1464 |
| LMArena Chinese | 1201 | 1509 |
| LMArena French | 1185 | 1497 |
| LMArena German | 1164 | 1497 |
| LMArena Korean | 1104 | 1459 |
| LMArena Russian | 1188 | 1466 |
| LMArena Spanish | 1153 | 1472 |
| LMArena Japanese | 1126 | — |
Instruction Following Muse Spark leads
Deepseek Coder v2: 61.7 (#242), Muse Spark: 75.9 (#51)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1180 | 1442 |
Long Context Muse Spark leads
Deepseek Coder v2: 37.0 (#224), Muse Spark: 44.4 (#69)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1219 | 1451 |
Writing & Preference Muse Spark leads
Deepseek Coder v2: 38.2 (#253), Muse Spark: 66.0 (#39)
| Benchmark | Deepseek Coder v2 | Muse Spark |
|---|---|---|
| LMArena Text | 1191 | 1474 |
| LMArena Creative Writing | 1120 | 1459 |
| LMArena Multi-Turn | 1177 | 1477 |
Frequently asked questions
Is Deepseek Coder v2 better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Muse Spark share?
16 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Muse Spark has 27.