# DeepSeek LLM 67B vs Muse Spark 1.3

> Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek LLM 67B 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 72.4 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 99.2% for Muse Spark 1.3.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.8 | 54.4 |
| Rank | 341 | 27 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Muse Spark 1.3: 56.1 (#18)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1096 | 1516 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1655 |
| SciCode | — | 59.7% |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Muse Spark 1.3: 38.6 (#28)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Muse Spark 1.3: 52.9 (#27)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 0% | 38% |
| LMArena Hard Prompts | 1070 | 1503 |
| Epoch Capabilities Index | 110.54 | 156.89 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 24.9% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Muse Spark 1.3: 72.4 (#16)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 99.2% |
| LMArena Math | 1108 | 1497 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Muse Spark 1.3: 42.0 (#92)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1516 |

## Multimodal

- DeepSeek LLM 67B: —
- Muse Spark 1.3: 43.0 (#21)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1310 |
| LMArena Document | — | 1471 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Muse Spark 1.3: 57.8 (#6)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1073 | 1485 |
| LMArena Chinese | 1132 | 1527 |
| LMArena French | — | 1534 |
| LMArena Korean | — | 1513 |
| LMArena Russian | — | 1491 |
| LMArena Spanish | — | 1485 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Muse Spark 1.3: 77.8 (#14)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1481 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Muse Spark 1.3: 45.7 (#29)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1092 | 1491 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Muse Spark 1.3: 73.7 (#10)

| Benchmark | DeepSeek LLM 67B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1105 | 1490 |
| LMArena Creative Writing | 1067 | 1450 |
| LMArena Multi-Turn | 1082 | 1486 |
| EQ-Bench Creative Writing | — | 1906 |

## FAQ

### Is DeepSeek LLM 67B better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Muse Spark 1.3 share?

13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Muse Spark 1.3 has 34.