Model comparison
Gemini 3 Pro vs Muse Spark 1.3
Gemini 3 Pro and Muse Spark 1.3 score almost the same on the Noometry Index (54.8 vs 54.8), so choose on price, context window or the category you care about most.
Last verified . 27 shared benchmarks.
Google
MetaSummary
- They share 27 benchmarks with published results for both. Gemini 3 Pro scores higher in 3 categories and Muse Spark 1.3 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 49.9.
- The biggest single-benchmark swing is ProofBench: 20% for Gemini 3 Pro and 58% for Muse Spark 1.3.
Side by side
| Gemini 3 Pro | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 54.8 | 54.8 |
| Released | 2025-11-18 | 2026-09-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 67 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Gemini 3 Pro: 51.6 (#39), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena WebDev | 1440 | 1657 |
| LMArena Coding | 1481 | 1514 |
| SWE-bench Verified | 72.9% | — |
| SWE-bench Verified (bash only) | 74.2% | — |
| CursorBench | — | 41.6% |
| SWE-bench Multilingual | 68.7% | — |
| SciCode | — | 59.7% |
| GSO | 18.6% | — |
| WeirdML | 69.9% | — |
| ALE-Bench | 1,177 | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Gemini 3 Pro leads
Gemini 3 Pro: 40.6 (#23), Muse Spark 1.3: 38.6 (#30)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| Terminal-Bench | 69.4% | — |
| APEX-Agents | — | 57.8% |
| 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 | — | 27.6% |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning Muse Spark 1.3 leads
Gemini 3 Pro: 52.5 (#31), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| NYT Connections (extended) | 94.4% | 85.1% |
| CritPt | 6.9% | 26% |
| Chess Puzzles | 31% | 38% |
| LMArena Hard Prompts | 1480 | 1503 |
| Epoch Capabilities Index | 152.92 | 156.75 |
| ARC-AGI-2 | 31.1% | — |
| SimpleBench | 76.4% | — |
| Kagi LLM Benchmark | 80.1% | — |
| ARC-AGI-1 | 75% | — |
| EnigmaEval | 18.2% | — |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 61.2 | — |
Math Muse Spark 1.3 leads
Gemini 3 Pro: 49.9 (#59), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 99.2% |
| ProofBench | 20% | 58% |
| LMArena Math | 1476 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| MathArena Final-Answer Competitions | 67% | — |
| 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 1.3: 42.6 (#95)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1475 | 1516 |
| GPQA Diamond | 92.6% | — |
| Humanity's Last Exam | 37.5% | — |
| 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 1.3: 43.7 (#22)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1305 | 1309 |
| LMArena Document | 1434 | 1471 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
Multilingual Too close to call
Gemini 3 Pro: 56.9 (#16), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1474 | 1481 |
| LMArena Chinese | 1523 | 1529 |
| LMArena French | 1492 | 1524 |
| LMArena German | 1515 | 1515 |
| LMArena Japanese | 1510 | 1474 |
| LMArena Korean | 1448 | 1501 |
| LMArena Russian | 1493 | 1490 |
| LMArena Spanish | 1470 | 1490 |
Instruction Following Muse Spark 1.3 leads
Gemini 3 Pro: 76.3 (#45), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1458 | 1477 |
| IFEval | 87.7% | — |
Long Context Muse Spark 1.3 leads
Gemini 3 Pro: 44.0 (#79), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1471 | 1488 |
| CL-bench | 15.8% | — |
Writing & Preference Muse Spark 1.3 leads
Gemini 3 Pro: 66.4 (#35), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Gemini 3 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1479 | 1490 |
| LMArena Creative Writing | 1482 | 1455 |
| EQ-Bench Creative Writing | 1525 | 1906 |
| LMArena Multi-Turn | 1484 | 1482 |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than Muse Spark 1.3?
Gemini 3 Pro and Muse Spark 1.3 score almost the same on the Noometry Index (54.8 vs 54.8), so choose on price, context window or the category you care about most.
Is Gemini 3 Pro or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and Muse Spark 1.3 share?
27 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and Muse Spark 1.3 has 37.