Model comparison
Gemini 3.1 Pro vs Muse Spark
Head-to-head evidence from 34 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Pro and Muse Spark share 34 comparable benchmark results. 3 of 8 categories are comparable. 13 results are unique to Gemini 3.1 Pro; 5 to Muse Spark.
Updated July 23, 2026- Shared results
- 34
- Gemini 3.1 Pro only
- 13
- Muse Spark only
- 5
- Comparable categories
- 3 / 8
Pick Muse Spark if you want the stronger benchmark profile. Gemini 3.1 Pro only becomes the better choice if reasoning is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 34 shared benchmark results across 7 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 is clearly ahead on the BenchAlign aggregate, 71.04 to 55.3. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in mathematics, where it averages 32.9 against 31.8. The single biggest benchmark swing on the page is ARC-AGI-2, 77.1% to 42.5%. Gemini 3.1 Pro does hit back in reasoning, 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 Gemini 3.1 Pro 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. Gemini 3.1 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 | Gemini 3.1 Pro | Δ | Muse Spark |
|---|---|---|---|
| Reasoning | Gemini 3.1 Pro77.1 | Margin← 34.6 | Muse Spark42.5 |
| Math | Gemini 3.1 Pro31.8 | Margin→ 1.1 | Muse Spark32.9 |
| Multimodal | Gemini 3.1 Pro82.6 | Margin← 0.1 | Muse Spark82.5 |
| Agentic | Gemini 3.1 ProNot measured | MarginNo overlap | Muse Spark59.0 |
| Coding | Gemini 3.1 ProNot measured | MarginNo overlap | Muse Spark67.8 |
| Knowledge | Gemini 3.1 ProNot measured | MarginNo overlap | Muse Spark50.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
ARC-AGI-2
ReasoningA 77.1%B 42.5%Winner: Gemini 3.1 ProΔ 34.6ARC-AGI-2: Gemini 3.1 Pro scored 77.1%; Muse Spark scored 42.5%. Gemini 3.1 Pro wins this benchmark. - Source ↗
CharXiv
MultimodalA 80.2%B 86.4%Winner: Muse SparkΔ 6.2CharXiv: Gemini 3.1 Pro scored 80.2%; Muse Spark scored 86.4%. Muse Spark wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 83.9%B 80.4%Winner: Gemini 3.1 ProΔ 3.5MMMU-Pro: Gemini 3.1 Pro scored 83.9%; Muse Spark scored 80.4%. Gemini 3.1 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 36.900%B 39.000%Winner: Muse SparkΔ 2.1FrontierMath v2 (Tiers 1-3): Gemini 3.1 Pro scored 36.900%; Muse Spark scored 39.000%. Muse Spark wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 16.700%B 14.600%Winner: Gemini 3.1 ProΔ 2.1FrontierMath v2 (Tier 4): Gemini 3.1 Pro scored 16.700%; Muse Spark scored 14.600%. Gemini 3.1 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Pro | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Pro$2 input / $12 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.1 Pro109 tok/s | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Pro29.71 s | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Pro1M | Muse Spark262K | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| Claw-EvalSource | 57.8% | 63.8% | Muse Spark leads |
| DeepSearchQASource | 69.7% | 74.8% | Muse Spark leads |
| τ²-bench resultsSource | 95.6% | 91.5% | Gemini 3.1 Pro leads |
| AA Agentic IndexSource | 21.4% | 28.7% | Muse Spark leads |
| APEX-Agents-AASource | 32.0% | — | Not comparable |
| GDPval-AASource | 23.3% | 32.2% | Muse Spark leads |
| GDPval-AASource | 965 | 1144 | Muse Spark leads |
| Gert LabsSource | 56.87% | — | Not comparable |
| ResearchClawBenchSource | 13.3% | — | Not comparable |
| AA AutomationBenchSource | 37.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.2% | — | Not comparable |
| AA Harvey LABSource | 58.9% | — | Not comparable |
| AA ITBenchSource | 30.3% | — | Not comparable |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
| terminalBenchHardSource | 53.8% | — | Not comparable |
| aaTerminalBench21Source | 73.8% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 59% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 82.9% | 80.0% | Gemini 3.1 Pro leads |
| React Native EvalsSource | 78.9% | — | Not comparable |
| Vibe Code BenchSource | 32.03% | 19.67% | Gemini 3.1 Pro leads |
| AA Coding IndexSource | 68.8% | 58.6% | Gemini 3.1 Pro leads |
| AA-SciCodeSource | 58.9% | 51.5% | Gemini 3.1 Pro leads |
| SWE-bench VerifiedSource | — | 77.4% | Not comparable |
| SWE-bench ProSource | — | 52.4% | Not comparable |
ReasoningGemini 3.1 Pro wins3 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| GPQA-DSource | 94.3% | 89.5% | Gemini 3.1 Pro leads |
| HLE w/o toolsSource | 45.4% | 42.8% | Gemini 3.1 Pro leads |
| HealthBench HardSource | 20.6% | 42.8% | Muse Spark leads |
| MedXpertQA (Text)Source | 71.5% | 52.6% | Gemini 3.1 Pro leads |
| Artificial Analysis Intelligence IndexSource | 46.5% | 43.1% | Gemini 3.1 Pro leads |
| AA-GPQA DiamondSource | 94.1% | 88.4% | Gemini 3.1 Pro leads |
| AA-HLESource | 44.7% | 39.9% | Gemini 3.1 Pro leads |
| AA-Omniscience IndexSource | 32.9% | 4.1% | Gemini 3.1 Pro leads |
| AA-Omniscience AccuracySource | 55.3% | 44.6% | Gemini 3.1 Pro leads |
| AA-Omniscience Hallucination RateSource | 49.9% | 73.2% | Gemini 3.1 Pro leads |
| HLESource | — | 50.4% | Not comparable |
MathMuse Spark wins2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 93.2% | — | Not comparable |
MultimodalGemini 3.1 Pro wins9 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| MMMU-ProSource | 83.9% | 80.4% | Gemini 3.1 Pro leads |
| CharXivSource | 80.2% | 86.4% | Muse Spark leads |
| ERQASource | 69.4% | 64.7% | Gemini 3.1 Pro leads |
| SimpleVQASource | 72.4% | 71.3% | Gemini 3.1 Pro leads |
| ScreenSpot ProSource | 84.4% | 84.1% | Gemini 3.1 Pro leads |
| ZeroBenchSource | 29.0% | 33.0% | Muse Spark leads |
| MedXpertQA (MM)Source | 81.3% | 78.4% | Gemini 3.1 Pro leads |
| AA-MMMU-ProSource | 82.4% | 80.5% | Gemini 3.1 Pro leads |
| Design Arena WebsiteSource | 1281 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Pro | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.1% | 75.9% | Gemini 3.1 Pro leads |
Frequently Asked Questions (4)
Which is better, Gemini 3.1 Pro or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 55.3. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 77.1% and 42.5%.
Which is better for math, Gemini 3.1 Pro or Muse Spark?
Muse Spark has the edge for math in this comparison, averaging 32.9 versus 31.8. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Which is better for reasoning, Gemini 3.1 Pro or Muse Spark?
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 42.5. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemini 3.1 Pro or Muse Spark?
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 82.6 versus 82.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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