Model comparison
MiniMax-M2.7 vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 37.7 on the Noometry Index.
Last verified . 20 shared benchmarks.
MiniMax
MetaSummary
- They share 20 benchmarks with published results for both. MiniMax-M2.7 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 37.7.
- The biggest single-benchmark swing is ProofBench: 3% for MiniMax-M2.7 and 17% for Muse Spark.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M2.7 | Muse Spark | |
|---|---|---|
| Provider | MiniMax | Meta |
| Noometry Index | 37.7 | 50.6 |
| Released | 2026-03-18 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 30 | 27 |
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Category by category
Coding Muse Spark leads
MiniMax-M2.7: 41.8 (#120), Muse Spark: 46.2 (#69)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| SciCode | 47% | 51.5% |
| LMArena Coding | 1454 | 1481 |
| LMArena WebDev | 1398 | — |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Muse Spark: —
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Muse Spark leads
MiniMax-M2.7: 19.7 (#253), Muse Spark: 35.9 (#67)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| CritPt | 0.6% | 11.3% |
| LMArena Hard Prompts | 1422 | 1474 |
| Epoch Capabilities Index | 145.85 | 152.04 |
| NYT Connections (extended) | 24.7% | — |
| Thematic Generalization | 39.3% | — |
Math Muse Spark leads
MiniMax-M2.7: 25.9 (#263), Muse Spark: 47.8 (#66)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| ProofBench | 3% | 17% |
| LMArena Math | 1420 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
MiniMax-M2.7: 37.7 (#152), Muse Spark: 65.7 (#13)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Expert | 1444 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| Vectara Hallucination Rate | 12.9% | — |
Multimodal Not comparable
MiniMax-M2.7: —, Muse Spark: 43.4 (#24)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
MiniMax-M2.7: 50.3 (#123), Muse Spark: 56.1 (#24)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1382 | 1464 |
| LMArena Chinese | 1441 | 1509 |
| LMArena French | 1421 | 1497 |
| LMArena German | 1398 | 1497 |
| LMArena Korean | 1313 | 1459 |
| LMArena Russian | 1383 | 1466 |
| LMArena Spanish | 1403 | 1472 |
| LMArena Japanese | 1262 | — |
Instruction Following Muse Spark leads
MiniMax-M2.7: 74.1 (#103), Muse Spark: 75.9 (#51)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1405 | 1442 |
Long Context Muse Spark leads
MiniMax-M2.7: 43.3 (#99), Muse Spark: 44.4 (#69)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1419 | 1451 |
Writing & Preference Muse Spark leads
MiniMax-M2.7: 58.9 (#112), Muse Spark: 66.0 (#39)
| Benchmark | MiniMax-M2.7 | Muse Spark |
|---|---|---|
| LMArena Text | 1405 | 1474 |
| LMArena Creative Writing | 1354 | 1459 |
| LMArena Multi-Turn | 1412 | 1477 |
Frequently asked questions
Is MiniMax-M2.7 better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 37.7 on the Noometry Index.
Is MiniMax-M2.7 or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 41.8 in the Noometry coding category.
How many benchmarks do MiniMax-M2.7 and Muse Spark share?
20 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Muse Spark has 27.