Model comparison
Gemini 3 Pro vs Muse Spark 1.2
Gemini 3 Pro is the stronger model overall, scoring 54.7 to 49.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
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MetaSummary
- They share 20 benchmarks with published results for both. Gemini 3 Pro scores higher in 6 categories and Muse Spark 1.2 in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multimodal, where Gemini 3 Pro leads 56.9 to 42.6.
- The biggest single-benchmark swing is ProofBench: 20% for Gemini 3 Pro and 43% for Muse Spark 1.2.
Side by side
| Gemini 3 Pro | Muse Spark 1.2 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 54.7 | 49.8 |
| Released | 2025-11-18 | 2026-08-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 67 | 28 |
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Category by category
Coding Gemini 3 Pro leads
Gemini 3 Pro: 52.1 (#33), Muse Spark 1.2: 48.6 (#49)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena WebDev | 1439 | 1532 |
| WeirdML | 69.9% | 60.3% |
| LMArena Coding | 1482 | 1497 |
| SWE-bench Verified | 72.9% | — |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 74.2% | — |
| SWE-bench Multilingual | 68.7% | — |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| GSO | 18.6% | — |
| ALE-Bench | 1,177 | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Gemini 3 Pro leads
Gemini 3 Pro: 40.5 (#21), Muse Spark 1.2: 29.5 (#77)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| Terminal-Bench | 69.4% | — |
| APEX-Agents | — | 36.4% |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Banking | 18% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| GDP.pdf | — | 16% |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning Gemini 3 Pro leads
Gemini 3 Pro: 52.5 (#28), Muse Spark 1.2: 50.4 (#32)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 76.4% | 74.5% |
| NYT Connections (extended) | 94.4% | 79.2% |
| CritPt | 6.9% | 17.7% |
| LMArena Hard Prompts | 1481 | 1490 |
| Epoch Capabilities Index | 152.96 | 155.18 |
| ARC-AGI-2 | 31.1% | — |
| Kagi LLM Benchmark | 80.1% | — |
| ARC-AGI-1 | 75% | — |
| Chess Puzzles | 31% | — |
| EnigmaEval | 18.2% | — |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| ForecastBench | 61.2 | — |
Math Gemini 3 Pro leads
Gemini 3 Pro: 48.8 (#50), Muse Spark 1.2: 43.8 (#68)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 20% | 43% |
| MathArena Final-Answer Competitions | 67% | — |
| OTIS Mock AIME 2024-2025 | 91.4% | — |
| Omni-MATH | 55.5% | — |
| LMArena Math | 1475 | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.3 (#15), Muse Spark 1.2: 53.9 (#49)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1475 | 1485 |
| GPQA Diamond | 92.6% | — |
| Humanity's Last Exam | 37.5% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 90.3% | — |
| Vectara Hallucination Rate | 13.6% | — |
| GPQA (HELM) | 80.3% | — |
Multimodal Gemini 3 Pro leads
Gemini 3 Pro: 56.9 (#1), Muse Spark 1.2: 42.6 (#24)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1305 | 1304 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| LMArena Document | 1434 | — |
Multilingual Too close to call
Gemini 3 Pro: 57.1 (#14), Muse Spark 1.2: 57.4 (#10)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1474 | 1479 |
| LMArena Chinese | 1522 | 1519 |
| LMArena Russian | 1493 | 1494 |
| LMArena French | 1492 | — |
| LMArena German | 1517 | — |
| LMArena Japanese | 1513 | — |
| LMArena Korean | 1449 | — |
| LMArena Spanish | 1468 | — |
Instruction Following Too close to call
Gemini 3 Pro: 76.4 (#42), Muse Spark 1.2: 77.1 (#30)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1458 | 1466 |
| IFEval | 87.7% | — |
Long Context Muse Spark 1.2 leads
Gemini 3 Pro: 44.0 (#75), Muse Spark 1.2: 45.4 (#35)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1472 | 1483 |
| CL-bench | 15.8% | — |
Writing & Preference Muse Spark 1.2 leads
Gemini 3 Pro: 66.6 (#34), Muse Spark 1.2: 72.6 (#14)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1479 | 1486 |
| LMArena Creative Writing | 1482 | 1444 |
| EQ-Bench Creative Writing | 1525 | 1840 |
| LMArena Multi-Turn | 1484 | 1504 |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than Muse Spark 1.2?
Gemini 3 Pro is the stronger model overall, scoring 54.7 to 49.8 on the Noometry Index.
Is Gemini 3 Pro or Muse Spark 1.2 better for coding?
Gemini 3 Pro scores higher on coding benchmarks: 52.1 versus 48.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and Muse Spark 1.2 share?
20 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and Muse Spark 1.2 has 28.