Model comparison
MiniMax M3 vs Muse Spark
Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: MiniMax M3 #18; Muse Spark unranked
BenchAlign evidence: MiniMax M3 supported; Muse Spark supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and Muse Spark share 22 comparable benchmark results. 4 of 8 categories are comparable. 23 results are unique to MiniMax M3; 19 to Muse Spark.
Updated July 16, 2026- Shared results
- 22
- MiniMax M3 only
- 23
- Muse Spark only
- 19
- Comparable categories
- 4 / 8
Pick MiniMax M3 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiniMax M3 is clearly ahead on the provisional aggregate, 70 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in mathematics, where it averages 85.7 against 32.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 66% to 59%. Muse Spark does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Muse Spark is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiniMax M3 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 | MiniMax M3 | Δ | Muse Spark |
|---|---|---|---|
| Math | MiniMax M385.7 | Margin← 52.8 | Muse Spark32.9 |
| Multimodal | MiniMax M364.9 | Margin→ 17.6 | Muse Spark82.5 |
| Agentic | MiniMax M372.3 | Margin← 13.3 | Muse Spark59.0 |
| Coding | MiniMax M372.2 | Margin← 4.4 | Muse Spark67.8 |
| Reasoning | MiniMax M3Not measured | MarginNo overlap | Muse Spark42.5 |
| Knowledge | MiniMax M3Not measured | MarginNo overlap | Muse Spark50.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 66%B 59%Winner: MiniMax M3Δ 7Terminal-Bench 2.0: MiniMax M3 scored 66%; Muse Spark scored 59%. MiniMax M3 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 59%B 52.4%Winner: MiniMax M3Δ 6.6SWE-bench Pro: MiniMax M3 scored 59%; Muse Spark scored 52.4%. MiniMax M3 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 80.5%B 77.4%Winner: MiniMax M3Δ 3.1SWE-bench Verified: MiniMax M3 scored 80.5%; Muse Spark scored 77.4%. MiniMax M3 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 78.1%B 80.4%Winner: Muse SparkΔ 2.3MMMU-Pro: MiniMax M3 scored 78.1%; Muse Spark scored 80.4%. Muse Spark wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiniMax M3Not available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | Muse Spark262K | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
AgenticMiniMax M3 wins18 benchmarks
| Benchmark | MiniMax M3 | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66% | 59% | MiniMax M3 leads |
| BrowseCompSource | 83.5% | — | Not comparable |
| OSWorld-VerifiedSource | 70.1% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| Claw-EvalSource | 74.5% | 63.8% | MiniMax M3 leads |
| AA Agentic IndexSource | 35.4% | 28.7% | MiniMax M3 leads |
| τ²-bench resultsSource | 88.9% | 91.5% | Muse Spark leads |
| GDPval-AASource | 44.7% | 32.2% | MiniMax M3 leads |
| GDPval-AASource | 1395 | 1144 | MiniMax M3 leads |
| GDPval rubricsSource | 74.7% | — | Not comparable |
| BankerToolBenchSource | 76.1% | — | Not comparable |
| ResearchClawBenchSource | 19.8% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 1110 | — | Not comparable |
| AA EnterpriseOps-GymSource | 32.1% | — | Not comparable |
| AA Harvey LABSource | 6.7% | — | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
CodingMiniMax M3 wins13 benchmarks
| Benchmark | MiniMax M3 | Muse Spark | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.5% | 77.4% | MiniMax M3 leads |
| SWE-bench ProSource | 59% | 52.4% | MiniMax M3 leads |
| Terminal-Bench 2.0Source | 66.0% | — | Not comparable |
| NL2RepoSource | 42.1% | — | Not comparable |
| AA Coding IndexSource | 58.6% | 58.6% | Muse Spark leads |
| Terminal-Bench HardSource | 42.4% | 45.5% | Muse Spark leads |
| AA-SciCodeSource | 45.4% | 51.5% | Muse Spark leads |
| VIBE V2Source | 50.1% | — | Not comparable |
| SVG-BenchSource | 63.7% | — | Not comparable |
| KernelBench HardSource | 28.8% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 65.2% | — | Not comparable |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| Vibe Code BenchSource | — | 19.67% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | MiniMax M3 | Muse Spark | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | 43.1% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 92.9% | 88.4% | MiniMax M3 leads |
| AA-HLESource | 37.1% | 39.9% | Muse Spark leads |
| AA-Omniscience IndexSource | 1.4% | 4.1% | Muse Spark leads |
| AA-Omniscience AccuracySource | 15.0% | 44.6% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 16.1% | 73.2% | MiniMax M3 leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
| GPQA-DSource | — | 89.5% | Not comparable |
| HLESource | — | 50.4% | Not comparable |
| HLE w/o toolsSource | — | 42.8% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
MathMiniMax M3 wins3 benchmarks
MultimodalMuse Spark wins14 benchmarks
| Benchmark | MiniMax M3 | Muse Spark | Result |
|---|---|---|---|
| OfficeQA ProSource | 45.1% | — | Not comparable |
| OmniDocBench 1.5Source | 91.6% | — | Not comparable |
| MMMU-ProSource | 78.1% | 80.4% | Muse Spark leads |
| VideoMMMUSource | 84.6% | — | Not comparable |
| Video-MME (with subtitle)Source | 85.4% | — | Not comparable |
| Design Arena WebsiteSource | 1294 | — | Not comparable |
| AA-MMMU-ProSource | 78.6% | 80.5% | Muse Spark leads |
| CharXivSource | — | 86.4% | 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 |
| GDPval-AASource | — | 1444 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiniMax M3 | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 82.9% | 75.9% | MiniMax M3 leads |
Frequently Asked Questions (5)
Which is better, MiniMax M3 or Muse Spark?
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 70 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 66% and 59%.
Which is better for coding, MiniMax M3 or Muse Spark?
MiniMax M3 has the edge for coding in this comparison, averaging 72.2 versus 67.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, MiniMax M3 or Muse Spark?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 32.9. Muse Spark stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, MiniMax M3 or Muse Spark?
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 72.3 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, MiniMax M3 or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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