Model comparison
Deepseek Coder v2 vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
MetaSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 34.9.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Muse Spark 1.3 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | 54.8 |
| Released | 2024-06-17 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 24 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Deepseek Coder v2: 38.1 (#183), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1251 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Deepseek Coder v2: 23.6 (#176), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1503 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.75 |
| WinoGrande | 83.7% | — |
Math Muse Spark 1.3 leads
Deepseek Coder v2: 34.9 (#190), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1241 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| GSM8K | 94.5% | — |
Knowledge Muse Spark 1.3 leads
Deepseek Coder v2: 32.3 (#212), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1181 | 1516 |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
Deepseek Coder v2: 36.3 (#240), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1182 | 1481 |
| LMArena Chinese | 1201 | 1529 |
| LMArena French | 1185 | 1524 |
| LMArena German | 1164 | 1515 |
| LMArena Japanese | 1126 | 1474 |
| LMArena Korean | 1104 | 1501 |
| LMArena Russian | 1188 | 1490 |
| LMArena Spanish | 1153 | 1490 |
Instruction Following Muse Spark 1.3 leads
Deepseek Coder v2: 61.7 (#242), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1477 |
Long Context Muse Spark 1.3 leads
Deepseek Coder v2: 37.0 (#224), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1219 | 1488 |
Writing & Preference Muse Spark 1.3 leads
Deepseek Coder v2: 38.2 (#253), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Deepseek Coder v2 | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1191 | 1490 |
| LMArena Creative Writing | 1120 | 1455 |
| LMArena Multi-Turn | 1177 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is Deepseek Coder v2 better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Muse Spark 1.3 share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Muse Spark 1.3 has 37.