# DeepSeek-V3.1 vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.6 to 42.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 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 43.7.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 42.8 | 50.6 |
| Rank | 108 | 46 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Muse Spark: 46.2 (#69)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Coding | 1417 | 1481 |
| SciCode | — | 51.5% |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Muse Spark: 35.9 (#67)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1474 |
| Epoch Capabilities Index | 139.92 | 152.04 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | — | 11.3% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Muse Spark: 47.8 (#66)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Math | 1420 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Muse Spark: 65.7 (#13)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Expert | 1405 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- DeepSeek-V3.1: —
- Muse Spark: 43.4 (#24)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Muse Spark: 56.1 (#24)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1400 | 1464 |
| LMArena Chinese | 1469 | 1509 |
| LMArena French | 1447 | 1497 |
| LMArena German | 1411 | 1497 |
| LMArena Korean | 1337 | 1459 |
| LMArena Russian | 1405 | 1466 |
| LMArena Spanish | 1431 | 1472 |
| LMArena Japanese | 1378 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Muse Spark: 75.9 (#51)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1400 | 1442 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Muse Spark: 44.4 (#69)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1422 | 1451 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Muse Spark: 66.0 (#39)

| Benchmark | DeepSeek-V3.1 | Muse Spark |
|---|---|---|
| LMArena Text | 1420 | 1474 |
| LMArena Creative Writing | 1401 | 1459 |
| LMArena Multi-Turn | 1408 | 1477 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 42.8 on the Noometry Index.

### Is DeepSeek-V3.1 or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 40.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Muse Spark share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Muse Spark has 27.