Model comparison
Gemini 3 Pro vs Muse Spark 1.2
Gemini 3 Pro is the stronger model overall, scoring 54.8 to 50.3 on the Noometry Index.
Last verified . 23 shared benchmarks.
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MetaSummary
- They share 23 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 57.6 to 43.4.
- 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 | 54.8 | 50.3 |
| 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 | 31 |
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Category by category
Coding Gemini 3 Pro leads
Gemini 3 Pro: 51.6 (#39), Muse Spark 1.2: 49.2 (#51)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena WebDev | 1440 | 1533 |
| WeirdML | 69.9% | 60.3% |
| LMArena Coding | 1481 | 1495 |
| 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: 40.6 (#23), Muse Spark 1.2: 29.4 (#87)
| 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 (#31), Muse Spark 1.2: 51.3 (#34)
| 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 | 1480 | 1486 |
| Epoch Capabilities Index | 152.92 | 154.87 |
| 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: 49.9 (#59), Muse Spark 1.2: 46.4 (#70)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 20% | 43% |
| LMArena Math | 1476 | 1471 |
| MathArena Final-Answer Competitions | 67% | — |
| OTIS Mock AIME 2024-2025 | 91.4% | — |
| Omni-MATH | 55.5% | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.4 (#16), Muse Spark 1.2: 54.1 (#53)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1475 | 1480 |
| 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: 57.6 (#2), Muse Spark 1.2: 43.4 (#25)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1305 | 1305 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| LMArena Document | 1434 | — |
Multilingual Too close to call
Gemini 3 Pro: 56.9 (#16), Muse Spark 1.2: 57.1 (#11)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1474 | 1478 |
| LMArena Chinese | 1523 | 1511 |
| LMArena French | 1492 | 1513 |
| LMArena Russian | 1493 | 1487 |
| LMArena Spanish | 1470 | 1498 |
| LMArena German | 1515 | — |
| LMArena Japanese | 1510 | — |
| LMArena Korean | 1448 | — |
Instruction Following Too close to call
Gemini 3 Pro: 76.3 (#45), Muse Spark 1.2: 76.7 (#36)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1458 | 1461 |
| IFEval | 87.7% | — |
Long Context Muse Spark 1.2 leads
Gemini 3 Pro: 44.0 (#79), Muse Spark 1.2: 45.2 (#48)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1471 | 1475 |
| CL-bench | 15.8% | — |
Writing & Preference Muse Spark 1.2 leads
Gemini 3 Pro: 66.4 (#35), Muse Spark 1.2: 72.3 (#14)
| Benchmark | Gemini 3 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1479 | 1482 |
| LMArena Creative Writing | 1482 | 1449 |
| EQ-Bench Creative Writing | 1525 | 1840 |
| LMArena Multi-Turn | 1484 | 1494 |
| 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 54.8 to 50.3 on the Noometry Index.
Is Gemini 3 Pro or Muse Spark 1.2 better for coding?
Gemini 3 Pro scores higher on coding benchmarks: 51.6 versus 49.2 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and Muse Spark 1.2 share?
23 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and Muse Spark 1.2 has 31.