Model comparison
MiMo-V2-Pro vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3'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 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 39.5.
- The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 85.1% for Muse Spark 1.3.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
Side by side
| MiMo-V2-Pro | Muse Spark 1.3 | |
|---|---|---|
| Provider | Xiaomi | Meta |
| Noometry Index | 43.0 | 54.8 |
| Released | 2026-03-18 | 2026-09-02 |
| 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 1.3 leads
MiMo-V2-Pro: 43.8 (#83), Muse Spark 1.3: 56.6 (#21)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena WebDev | 1433 | 1657 |
| LMArena Coding | 1476 | 1514 |
| CursorBench | — | 41.6% |
| SciCode | — | 59.7% |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
MiMo-V2-Pro: 22.1 (#206), Muse Spark 1.3: 54.0 (#27)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| NYT Connections (extended) | 25.8% | 85.1% |
| LMArena Hard Prompts | 1457 | 1503 |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| Thematic Generalization | 45.9% | — |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.75 |
Math Muse Spark 1.3 leads
MiMo-V2-Pro: 39.5 (#102), Muse Spark 1.3: 73.1 (#21)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1447 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
Knowledge Muse Spark 1.3 leads
MiMo-V2-Pro: 41.4 (#111), Muse Spark 1.3: 42.6 (#95)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1478 | 1516 |
Multimodal Not comparable
MiMo-V2-Pro: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
MiMo-V2-Pro: 52.7 (#81), Muse Spark 1.3: 57.4 (#8)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1416 | 1481 |
| LMArena Chinese | 1456 | 1529 |
| LMArena French | 1469 | 1524 |
| LMArena German | 1417 | 1515 |
| LMArena Japanese | 1366 | 1474 |
| LMArena Korean | 1400 | 1501 |
| LMArena Russian | 1427 | 1490 |
| LMArena Spanish | 1457 | 1490 |
Instruction Following Muse Spark 1.3 leads
MiMo-V2-Pro: 76.0 (#49), Muse Spark 1.3: 77.5 (#22)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1445 | 1477 |
Long Context Muse Spark 1.3 leads
MiMo-V2-Pro: 41.5 (#138), Muse Spark 1.3: 45.6 (#32)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1455 | 1488 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference Muse Spark 1.3 leads
MiMo-V2-Pro: 62.8 (#70), Muse Spark 1.3: 73.6 (#9)
| Benchmark | MiMo-V2-Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1436 | 1490 |
| LMArena Creative Writing | 1415 | 1455 |
| LMArena Multi-Turn | 1456 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is MiMo-V2-Pro better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Pro or Muse Spark 1.3?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is MiMo-V2-Pro or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 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 1.3 share?
19 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Muse Spark 1.3 has 37.