Model comparison
MiMo-V2.5-Pro vs Muse Spark
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiMo-V2.5-Pro #14 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2.5-Pro and Muse Spark share 20 comparable benchmark results. 3 of 8 categories are comparable. 11 results are unique to MiMo-V2.5-Pro; 19 to Muse Spark.
Updated July 21, 2026- Shared results
- 20
- MiMo-V2.5-Pro only
- 11
- Muse Spark only
- 19
- Comparable categories
- 3 / 8
Pick Muse Spark if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Muse Spark has the cleaner BenchAlign overall profile here, landing at 71.04 versus 70.19. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Muse Spark's sharpest advantage is in coding, where it averages 67.8 against 57.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 68.4% to 59%. MiMo-V2.5-Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 262K for Muse Spark.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | MiMo-V2.5-Pro | Δ | Muse Spark |
|---|---|---|---|
| Coding | MiMo-V2.5-Pro57.2 | Margin→ 10.6 | Muse Spark67.8 |
| Agentic | MiMo-V2.5-Pro68.4 | Margin← 9.4 | Muse Spark59.0 |
| Knowledge | MiMo-V2.5-Pro48.0 | Margin→ 2.4 | Muse Spark50.4 |
| Reasoning | MiMo-V2.5-ProNot measured | MarginNo overlap | Muse Spark42.5 |
| Math | MiMo-V2.5-ProNot measured | MarginNo overlap | Muse Spark32.9 |
| Multimodal | MiMo-V2.5-ProNot measured | MarginNo overlap | Muse Spark82.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 68.4%B 59%Winner: MiMo-V2.5-ProΔ 9.4Terminal-Bench 2.0: MiMo-V2.5-Pro scored 68.4%; Muse Spark scored 59%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.2%B 52.4%Winner: MiMo-V2.5-ProΔ 4.8SWE-bench Pro: MiMo-V2.5-Pro scored 57.2%; Muse Spark scored 52.4%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 48%B 50.4%Winner: Muse SparkΔ 2.4HLE: MiMo-V2.5-Pro scored 48%; Muse Spark scored 50.4%. Muse Spark wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2.5-Pro | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2.5-ProNot available | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2.5-ProNot available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2.5-ProNot available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2.5-Pro1M | Muse Spark262K | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5-Pro wins16 benchmarks
| Benchmark | MiMo-V2.5-Pro | Muse Spark | Result |
|---|---|---|---|
| Claw-EvalSource | 63.8% | 63.8% | Tie |
| GDPval-AASource | 1265 | 1144 | MiMo-V2.5-Pro leads |
| τ³-bench resultsSource | 72.9% | — | Not comparable |
| Terminal-Bench 2.0Source | 68.4% | 59% | MiMo-V2.5-Pro leads |
| AA Agentic IndexSource | 29.1% | 28.7% | MiMo-V2.5-Pro leads |
| τ²-bench resultsSource | 94.2% | 91.5% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 38.3% | 32.2% | MiMo-V2.5-Pro leads |
| APEX-Agents-AASource | 2.4% | — | Not comparable |
| Gert LabsSource | 62.70% | — | Not comparable |
| AA BriefcaseSource | 873 | — | Not comparable |
| AA ITBenchSource | 38.2% | — | Not comparable |
| terminalBenchHardSource | 43.2% | — | Not comparable |
| aaTerminalBench21Source | 65.2% | — | Not comparable |
| AA Harvey LABSource | 73.3% | — | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
CodingMuse Spark wins7 benchmarks
| Benchmark | MiMo-V2.5-Pro | Muse Spark | Result |
|---|---|---|---|
| SWE-bench ProSource | 57.2% | 52.4% | MiMo-V2.5-Pro leads |
| Terminal-Bench 2.0Source | 68.4% | — | Not comparable |
| AA Coding IndexSource | 60.2% | 58.6% | MiMo-V2.5-Pro leads |
| AA-SciCodeSource | 50.2% | 51.5% | Muse Spark leads |
| SWE-bench VerifiedSource | — | 77.4% | Not comparable |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| Vibe Code BenchSource | — | 19.67% | Not comparable |
Reasoning3 benchmarks
KnowledgeMuse Spark wins12 benchmarks
| Benchmark | MiMo-V2.5-Pro | Muse Spark | Result |
|---|---|---|---|
| HLESource | 48% | 50.4% | Muse Spark leads |
| HLE w/o toolsSource | 34% | 42.8% | Muse Spark leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | 43.1% | Muse Spark leads |
| AA-GPQA DiamondSource | 86.6% | 88.4% | Muse Spark leads |
| AA-HLESource | 33.8% | 39.9% | Muse Spark leads |
| AA-Omniscience IndexSource | 3.6% | 4.1% | Muse Spark leads |
| AA-Omniscience AccuracySource | 22.6% | 44.6% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 24.5% | 73.2% | MiMo-V2.5-Pro leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| GPQA-DSource | — | 89.5% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
Math2 benchmarks
Multimodal9 benchmarks
| Benchmark | MiMo-V2.5-Pro | Muse Spark | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1298 | — | Not comparable |
| CharXivSource | — | 86.4% | Not comparable |
| MMMU-ProSource | — | 80.4% | Not comparable |
| ERQASource | — | 64.7% | Not comparable |
| SimpleVQASource | — | 71.3% | Not comparable |
| ScreenSpot ProSource | — | 84.1% | Not comparable |
| ZeroBenchSource | — | 33.0% | Not comparable |
| MedXpertQA (MM)Source | — | 78.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiMo-V2.5-Pro | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 79.9% | 75.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (4)
Which is better, MiMo-V2.5-Pro or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 70.19. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 68.4% and 59%.
Which is better for knowledge tasks, MiMo-V2.5-Pro or Muse Spark?
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, MiMo-V2.5-Pro or Muse Spark?
Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 57.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, MiMo-V2.5-Pro or Muse Spark?
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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