# 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.

- Canonical page: https://noometry.com/compare/deepseek-coder-6-7b-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- 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 56.1 to 35.2.
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.1 | 54.4 |
| Rank | — | 27 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 6.7B: 35.2 (#216)
- Muse Spark 1.3: 56.1 (#18)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1655 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 35.5% | — |
| LMArena Coding | — | 1516 |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |

## Agentic & Tool Use

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 38.6 (#28)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |

## Reasoning

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 52.9 (#27)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| Epoch Capabilities Index | 88.88 | 156.89 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 24.9% |
| 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

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 72.4 (#16)

| 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% |
| LMArena Math | — | 1497 |
| GSM8K | 21.3% | — |

## Knowledge

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 42.0 (#92)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | — | 1516 |
| ARC (AI2) Challenge | 36.4% | — |
| MMLU | 36.4% | — |

## Multimodal

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 43.0 (#21)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1310 |
| LMArena Document | — | 1471 |

## Multilingual

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 57.8 (#6)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1485 |
| LMArena Chinese | — | 1527 |
| LMArena French | — | 1534 |
| LMArena Korean | — | 1513 |
| LMArena Russian | — | 1491 |
| LMArena Spanish | — | 1485 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 77.8 (#14)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1481 |

## Long Context

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 45.7 (#29)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1491 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Muse Spark 1.3: 73.7 (#10)

| Benchmark | DeepSeek Coder 6.7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1450 |
| EQ-Bench Creative Writing | — | 1906 |
| LMArena Multi-Turn | — | 1486 |

## FAQ

### 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: 56.1 versus 35.2 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 34.