Model comparison
MiniMax-M2 vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
MiniMax
MetaSummary
- They share 16 benchmarks with published results for both. MiniMax-M2 scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 19.4.
- The biggest single-benchmark swing is NYT Connections (extended): 14.8% for MiniMax-M2 and 79.2% for Muse Spark 1.2.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 205K.
- MiniMax-M2 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M2 | Muse Spark 1.2 | |
|---|---|---|
| Provider | MiniMax | Meta |
| Noometry Index | 37.4 | 50.3 |
| Released | 2025-10-27 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 205K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.30 | $1.25 |
| Output $ / M tokens | $1.20 | $4.25 |
| Results tracked | 21 | 31 |
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Category by category
Coding Muse Spark 1.2 leads
MiniMax-M2: 39.3 (#159), Muse Spark 1.2: 49.2 (#51)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena WebDev | 1297 | 1533 |
| LMArena Coding | 1370 | 1495 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 61% | — |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
Agentic & Tool Use Muse Spark 1.2 leads
MiniMax-M2: 25.1 (#109), Muse Spark 1.2: 29.4 (#87)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| Terminal-Bench | 30% | — |
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
| Vending-Bench 2 | 160.6 | — |
Reasoning Muse Spark 1.2 leads
MiniMax-M2: 19.4 (#258), Muse Spark 1.2: 51.3 (#34)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| NYT Connections (extended) | 14.8% | 79.2% |
| LMArena Hard Prompts | 1357 | 1486 |
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 57.8% | — |
| CritPt | — | 17.7% |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Epoch Capabilities Index | — | 154.87 |
Math Muse Spark 1.2 leads
MiniMax-M2: 37.3 (#160), Muse Spark 1.2: 46.4 (#70)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1352 | 1471 |
| ProofBench | — | 43% |
Knowledge Muse Spark 1.2 leads
MiniMax-M2: 37.0 (#163), Muse Spark 1.2: 54.1 (#53)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1337 | 1480 |
| SimpleQA Verified | — | 60.3% |
Multimodal Not comparable
MiniMax-M2: —, Muse Spark 1.2: 43.4 (#25)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1305 |
Multilingual Muse Spark 1.2 leads
MiniMax-M2: 45.3 (#171), Muse Spark 1.2: 57.1 (#11)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1313 | 1478 |
| LMArena Chinese | 1366 | 1511 |
| LMArena French | 1335 | 1513 |
| LMArena Russian | 1331 | 1487 |
| LMArena Spanish | 1326 | 1498 |
| LMArena German | 1355 | — |
Instruction Following Muse Spark 1.2 leads
MiniMax-M2: 70.2 (#166), Muse Spark 1.2: 76.7 (#36)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1328 | 1461 |
Long Context Muse Spark 1.2 leads
MiniMax-M2: 40.5 (#153), Muse Spark 1.2: 45.2 (#48)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1331 | 1475 |
Writing & Preference Muse Spark 1.2 leads
MiniMax-M2: 53.0 (#162), Muse Spark 1.2: 72.3 (#14)
| Benchmark | MiniMax-M2 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1340 | 1482 |
| LMArena Creative Writing | 1286 | 1449 |
| LMArena Multi-Turn | 1361 | 1494 |
| EQ-Bench Creative Writing | — | 1840 |
Frequently asked questions
Is MiniMax-M2 better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2 or Muse Spark 1.2?
MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.
Is MiniMax-M2 or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 39.3 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 205K.
How many benchmarks do MiniMax-M2 and Muse Spark 1.2 share?
16 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Muse Spark 1.2 has 31.