Model comparison
DeepSeek Coder 6.7B vs Muse Spark 1.3
Muse Spark 1.3 has enough public results to be ranked (#27); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
MetaSummary
- They share 1 benchmark with published results for both. DeepSeek Coder 6.7B scores higher in 0 categories and Muse Spark 1.3 in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Muse Spark 1.3 leads 56.6 to 35.8.
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek Coder 6.7B | Muse Spark 1.3 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 54.8 |
| Released | 2023-11-02 | 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 | 9 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
DeepSeek Coder 6.7B: 35.8 (#219), Muse Spark 1.3: 56.6 (#21)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 35.5% | — |
| LMArena Coding | — | 1514 |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |
Agentic & Tool Use Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 54.0 (#27)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 156.75 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| LMArena Hard Prompts | — | 1503 |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 73.1 (#21)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 42.6 (#95)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | — | 1516 |
| ARC (AI2) Challenge | 36.4% | — |
| MMLU | 36.4% | — |
Multimodal Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 57.4 (#8)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1481 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Russian | — | 1490 |
| LMArena Spanish | — | 1490 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 77.5 (#22)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 45.6 (#32)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Muse Spark 1.3: 73.6 (#9)
| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1455 |
| EQ-Bench Creative Writing | — | 1906 |
| LMArena Multi-Turn | — | 1482 |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Muse Spark 1.3?
Muse Spark 1.3 has enough public results to be ranked (#27); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 35.8 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Muse Spark 1.3 share?
1 benchmark has published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Muse Spark 1.3 has 37.