Model comparison
Gemini 3 Pro vs Muse Spark
Head-to-head evidence from 19 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Pro #19 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and Muse Spark share 19 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to Gemini 3 Pro; 20 to Muse Spark.
Updated July 23, 2026- Shared results
- 19
- Gemini 3 Pro only
- 8
- Muse Spark only
- 20
- Comparable categories
- 3 / 8
Pick Muse Spark if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 19 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 67.73. 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 reasoning, where it averages 42.5 against 31.1. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 42.5%.
Muse Spark is the reasoning model in the pair, while Gemini 3 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 Pro gives you the larger context window at 2M, 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 Pro | Δ | Muse Spark |
|---|---|---|---|
| Reasoning | Gemini 3 Pro31.1 | Margin→ 11.4 | Muse Spark42.5 |
| Multimodal | Gemini 3 Pro81.1 | Margin→ 1.4 | Muse Spark82.5 |
| Math | Gemini 3 Pro32.9 | MarginTie | Muse Spark32.9 |
| Agentic | Gemini 3 ProNot measured | MarginNo overlap | Muse Spark59.0 |
| Coding | Gemini 3 ProNot measured | MarginNo overlap | Muse Spark67.8 |
| Knowledge | Gemini 3 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 31.1%B 42.5%Winner: Muse SparkΔ 11.4ARC-AGI-2: Gemini 3 Pro scored 31.1%; Muse Spark scored 42.5%. Muse Spark wins this benchmark. - Source ↗
CharXiv
MultimodalA 81.4%B 86.4%Winner: Muse SparkΔ 5CharXiv: Gemini 3 Pro scored 81.4%; Muse Spark scored 86.4%. Muse Spark wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 18.750%B 14.600%Winner: Gemini 3 ProΔ 4.2FrontierMath v2 (Tier 4): Gemini 3 Pro scored 18.750%; Muse Spark scored 14.600%. Gemini 3 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 37.600%B 39.000%Winner: Muse SparkΔ 1.4FrontierMath v2 (Tiers 1-3): Gemini 3 Pro scored 37.600%; Muse Spark scored 39.000%. Muse Spark wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 81%B 80.4%Winner: Gemini 3 ProΔ 0.6MMMU-Pro: Gemini 3 Pro scored 81%; Muse Spark scored 80.4%. Gemini 3 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3 Pro | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | Muse Spark262K | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| τ²-bench resultsSource | 87.1% | 91.5% | Muse Spark leads |
| Gert LabsSource | 63.23% | — | Not comparable |
| JobBenchSource | 11.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 59% | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| AA Agentic IndexSource | — | 28.7% | Not comparable |
| GDPval-AASource | — | 32.2% | Not comparable |
| GDPval-AASource | — | 1144 | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| Vibe Code BenchSource | 14.30% | 19.67% | Muse Spark leads |
| AA-SciCodeSource | 56.1% | 51.5% | Gemini 3 Pro leads |
| AA LiveCodeBenchSource | 91.7% | — | Not comparable |
| SWE-bench VerifiedSource | — | 77.4% | Not comparable |
| SWE-bench ProSource | — | 52.4% | Not comparable |
| LiveCodeBench ProSource | — | 80.0% | Not comparable |
| AA Coding IndexSource | — | 58.6% | Not comparable |
ReasoningMuse Spark wins3 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | 43.1% | Muse Spark leads |
| AA-GPQA DiamondSource | 90.8% | 88.4% | Gemini 3 Pro leads |
| AA-HLESource | 37.2% | 39.9% | Muse Spark leads |
| AA-Omniscience IndexSource | 15.8% | 4.1% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 55.9% | 44.6% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 90.9% | 73.2% | Muse Spark leads |
| AA MMLU-ProSource | 89.8% | — | 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 |
MathTie2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
MultimodalMuse Spark wins11 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | 80.4% | Gemini 3 Pro leads |
| MathVisionSource | 86.6% | — | Not comparable |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | 84.1% | Muse Spark leads |
| CharXivSource | 81.4% | 86.4% | Muse Spark leads |
| V*Source | 88.0% | — | Not comparable |
| AA-MMMU-ProSource | 80.2% | 80.5% | Muse Spark leads |
| ERQASource | — | 64.7% | Not comparable |
| SimpleVQASource | — | 71.3% | Not comparable |
| ZeroBenchSource | — | 33.0% | Not comparable |
| MedXpertQA (MM)Source | — | 78.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Pro | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.4% | 75.9% | Muse Spark leads |
Frequently Asked Questions (4)
Which is better, Gemini 3 Pro or Muse Spark?
Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 67.73. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 42.5%.
Which is better for math, Gemini 3 Pro or Muse Spark?
Gemini 3 Pro and Muse Spark are effectively tied for math here, both landing at 32.9 on average.
Which is better for reasoning, Gemini 3 Pro or Muse Spark?
Muse Spark has the edge for reasoning in this comparison, averaging 42.5 versus 31.1. 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 Pro or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 81.1. Inside this category, ScreenSpot Pro is the benchmark that creates the most daylight between them.
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