# Muse Spark 1.1 vs Qwen2.5 7B Instruct

> Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 6.5× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/muse-spark-1-1-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Muse Spark 1.1 scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark 1.1 leads 53.1 to 17.0.
- The biggest single-benchmark swing is DTBench: 94.4% for Muse Spark 1.1 and 47.7% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 49.9 | 29.0 |
| Rank | 51 | 320 |
| Context | 1.05M | 131K |
| Input $/M | $1.25 | $0.17 |
| Output $/M | $4.25 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark 1.1: 51.3 (#40)
- Qwen2.5 7B Instruct: 36.5 (#208)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| DeepSWE | 53.3% | — |
| LMArena WebDev | 1542 | — |
| SciCode | 58.8% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1498 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Muse Spark 1.1: 30.8 (#73)
- Qwen2.5 7B Instruct: 23.8 (#124)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| APEX-Agents | 31.8% | — |
| τ²-bench Banking | 40.5% | — |
| BALROG | — | 7.8% |
| GBAEval | 7.9% | — |
| GDP.pdf | 15% | — |
| Vending-Bench 2 | 6,520 | — |

## Reasoning

- Muse Spark 1.1: 47.1 (#44)
- Qwen2.5 7B Instruct: 14.8 (#322)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 94.4% | 47.7% |
| LMCA | 49.9% | 6.4% |
| Epoch Capabilities Index | 154.21 | 118.51 |
| NYT Connections (extended) | 84.9% | — |
| CritPt | 15.1% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1486 | — |
| Surface Evolver Bench | 52.5% | — |

## Math

- Muse Spark 1.1: 45.5 (#76)
- Qwen2.5 7B Instruct: 12.6 (#306)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| ProofBench | 39% | — |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1483 | — |

## Knowledge

- Muse Spark 1.1: 53.1 (#59)
- Qwen2.5 7B Instruct: 17.0 (#286)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| SimpleQA Verified | 57.8% | — |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1478 | — |
| MMLU | — | 72.9% |

## Multimodal

- Muse Spark 1.1: 42.6 (#29)
- Qwen2.5 7B Instruct: —

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1293 | — |
| LMArena Document | 1465 | — |

## Multilingual

- Muse Spark 1.1: 56.7 (#17)
- Qwen2.5 7B Instruct: —

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1472 | — |
| LMArena Chinese | 1518 | — |
| LMArena French | 1494 | — |
| LMArena German | 1466 | — |
| LMArena Japanese | 1451 | — |
| LMArena Korean | 1458 | — |
| LMArena Russian | 1483 | — |
| LMArena Spanish | 1464 | — |

## Instruction Following

- Muse Spark 1.1: 76.5 (#39)
- Qwen2.5 7B Instruct: 63.2 (#231)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1457 | — |

## Long Context

- Muse Spark 1.1: 44.8 (#58)
- Qwen2.5 7B Instruct: —

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1462 | — |

## Writing & Preference

- Muse Spark 1.1: 73.4 (#11)
- Qwen2.5 7B Instruct: 48.8 (#195)

| Benchmark | Muse Spark 1.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1479 | — |
| LMArena Creative Writing | 1437 | — |
| EQ-Bench Creative Writing | 1927 | — |
| WildBench | — | 73.1% |
| EQ-Bench 4 | 1260 | — |
| LMArena Multi-Turn | 1485 | — |

## FAQ

### Is Muse Spark 1.1 better than Qwen2.5 7B Instruct?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 6.5× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

### Which is cheaper, Muse Spark 1.1 or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

### Is Muse Spark 1.1 or Qwen2.5 7B Instruct better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 36.5 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 131K.

### How many benchmarks do Muse Spark 1.1 and Qwen2.5 7B Instruct share?

3 benchmarks have published results for both models. Muse Spark 1.1 has 37 scored results on Noometry and Qwen2.5 7B Instruct has 15.