# MiniMax-M2.7 vs Muse Spark 1.1

> Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 3.8× 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/minimax-m2-7-vs-muse-spark-1-1
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. MiniMax-M2.7 scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 19.7.
- The biggest single-benchmark swing is NYT Connections (extended): 24.7% for MiniMax-M2.7 and 84.9% for Muse Spark 1.1.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 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 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.

## Snapshot

| | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| Provider | MiniMax | Meta |
| Noometry Index | 37.7 | 49.9 |
| Rank | 196 | 51 |
| Context | 205K | 1.05M |
| Input $/M | $0.30 | $1.25 |
| Output $/M | $1.20 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- MiniMax-M2.7: 41.8 (#120)
- Muse Spark 1.1: 51.3 (#40)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1398 | 1542 |
| SciCode | 47% | 58.8% |
| LMArena Coding | 1454 | 1498 |
| DeepSWE | — | 53.3% |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |

## Agentic & Tool Use

- MiniMax-M2.7: 25.1 (#111)
- Muse Spark 1.1: 30.8 (#73)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| GBAEval | 0% | 7.9% |
| Terminal-Bench | 45.1% | — |
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| ExploitBench | 13.3% | — |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |

## Reasoning

- MiniMax-M2.7: 19.7 (#253)
- Muse Spark 1.1: 47.1 (#44)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 24.7% | 84.9% |
| CritPt | 0.6% | 15.1% |
| LMArena Hard Prompts | 1422 | 1486 |
| Epoch Capabilities Index | 145.85 | 154.21 |
| Thematic Generalization | 39.3% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |

## Math

- MiniMax-M2.7: 25.9 (#263)
- Muse Spark 1.1: 45.5 (#76)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| ProofBench | 3% | 39% |
| LMArena Math | 1420 | 1483 |

## Knowledge

- MiniMax-M2.7: 37.7 (#152)
- Muse Spark 1.1: 53.1 (#59)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1444 | 1478 |
| SimpleQA Verified | — | 57.8% |
| Vectara Hallucination Rate | 12.9% | — |

## Multimodal

- MiniMax-M2.7: —
- Muse Spark 1.1: 42.6 (#29)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |

## Multilingual

- MiniMax-M2.7: 50.3 (#123)
- Muse Spark 1.1: 56.7 (#17)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1382 | 1472 |
| LMArena Chinese | 1441 | 1518 |
| LMArena French | 1421 | 1494 |
| LMArena German | 1398 | 1466 |
| LMArena Japanese | 1262 | 1451 |
| LMArena Korean | 1313 | 1458 |
| LMArena Russian | 1383 | 1483 |
| LMArena Spanish | 1403 | 1464 |

## Instruction Following

- MiniMax-M2.7: 74.1 (#103)
- Muse Spark 1.1: 76.5 (#39)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1457 |

## Long Context

- MiniMax-M2.7: 43.3 (#99)
- Muse Spark 1.1: 44.8 (#58)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1419 | 1462 |

## Writing & Preference

- MiniMax-M2.7: 58.9 (#112)
- Muse Spark 1.1: 73.4 (#11)

| Benchmark | MiniMax-M2.7 | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1405 | 1479 |
| LMArena Creative Writing | 1354 | 1437 |
| LMArena Multi-Turn | 1412 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |

## FAQ

### Is MiniMax-M2.7 better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 3.8× 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, MiniMax-M2.7 or Muse Spark 1.1?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

### Is MiniMax-M2.7 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 41.8 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 205K.

### How many benchmarks do MiniMax-M2.7 and Muse Spark 1.1 share?

24 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Muse Spark 1.1 has 37.