Model comparison
MiMo-V2-Pro vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 3.7× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. MiMo-V2-Pro scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 22.1.
- The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 84.9% for Muse Spark 1.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
Side by side
| MiMo-V2-Pro | Muse Spark 1.1 | |
|---|---|---|
| Provider | Xiaomi | Meta |
| Noometry Index | 43.0 | 49.9 |
| Released | 2026-03-18 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.43 | $1.25 |
| Output $ / M tokens | $0.87 | $4.25 |
| Results tracked | 23 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
MiMo-V2-Pro: 43.8 (#83), Muse Spark 1.1: 51.3 (#40)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1433 | 1542 |
| LMArena Coding | 1476 | 1498 |
| DeepSWE | — | 53.3% |
| SciCode | — | 58.8% |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
MiMo-V2-Pro: 22.1 (#206), Muse Spark 1.1: 47.1 (#44)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 25.8% | 84.9% |
| LMArena Hard Prompts | 1457 | 1486 |
| CritPt | — | 15.1% |
| Thematic Generalization | 45.9% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| Epoch Capabilities Index | — | 154.21 |
Math Muse Spark 1.1 leads
MiMo-V2-Pro: 39.5 (#102), Muse Spark 1.1: 45.5 (#76)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1447 | 1483 |
| ProofBench | — | 39% |
Knowledge Muse Spark 1.1 leads
MiMo-V2-Pro: 41.4 (#111), Muse Spark 1.1: 53.1 (#59)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1478 | 1478 |
| SimpleQA Verified | — | 57.8% |
Multimodal Not comparable
MiMo-V2-Pro: —, Muse Spark 1.1: 42.6 (#29)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
MiMo-V2-Pro: 52.7 (#81), Muse Spark 1.1: 56.7 (#17)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1416 | 1472 |
| LMArena Chinese | 1456 | 1518 |
| LMArena French | 1469 | 1494 |
| LMArena German | 1417 | 1466 |
| LMArena Japanese | 1366 | 1451 |
| LMArena Korean | 1400 | 1458 |
| LMArena Russian | 1427 | 1483 |
| LMArena Spanish | 1457 | 1464 |
Instruction Following Too close to call
MiMo-V2-Pro: 76.0 (#49), Muse Spark 1.1: 76.5 (#39)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1445 | 1457 |
Long Context Muse Spark 1.1 leads
MiMo-V2-Pro: 41.5 (#138), Muse Spark 1.1: 44.8 (#58)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1455 | 1462 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference Muse Spark 1.1 leads
MiMo-V2-Pro: 62.8 (#70), Muse Spark 1.1: 73.4 (#11)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1436 | 1479 |
| LMArena Creative Writing | 1415 | 1437 |
| LMArena Multi-Turn | 1456 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is MiMo-V2-Pro better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 3.7× 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, MiMo-V2-Pro or Muse Spark 1.1?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is MiMo-V2-Pro or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do MiMo-V2-Pro and Muse Spark 1.1 share?
19 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Muse Spark 1.1 has 37.