Model comparison
Gemini 3.7 Flash vs Gemini 3 Pro
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 54.8 on the Noometry Index.
Last verified . 31 shared benchmarks.
GoogleSummary
- They share 31 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and Gemini 3 Pro in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in multimodal, where Gemini 3 Pro leads 57.6 to 37.3.
- The biggest single-benchmark swing is ARC-AGI-2: 84.6% for Gemini 3.7 Flash and 31.1% for Gemini 3 Pro.
Side by side
| Gemini 3.7 Flash | Gemini 3 Pro | |
|---|---|---|
| Provider | ||
| Noometry Index | 59.8 | 54.8 |
| Released | 2026-08-13 | 2025-11-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 44 | 67 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Gemini 3 Pro: 51.6 (#39)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena WebDev | 1592 | 1440 |
| LMArena Coding | 1497 | 1481 |
| ALE-Bench | 904.3 | 1,177 |
| SWE-bench Verified | — | 72.9% |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| SWE-bench Verified (bash only) | — | 74.2% |
| SWE-bench Multilingual | — | 68.7% |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| GSO | — | 18.6% |
| WeirdML | — | 69.9% |
| AlgoTune | — | 1.83 |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 3.7 Flash: 42.1 (#19), Gemini 3 Pro: 40.6 (#23)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| Remote Labor Index | 5% | 1.3% |
| Terminal-Bench | — | 69.4% |
| APEX-Agents | 67.8% | — |
| Berkeley Function Calling Leaderboard | — | 72.5% |
| GDPval | — | 40.3% |
| 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 | 23.8% | — |
| LMArena Search | — | 1207 |
| METR Time Horizons | — | 71% |
| Vending-Bench 2 | — | 5,478 |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Gemini 3 Pro: 52.5 (#31)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| ARC-AGI-2 | 84.6% | 31.1% |
| NYT Connections (extended) | 94% | 94.4% |
| ARC-AGI-1 | 95.5% | 75% |
| CritPt | 14.3% | 6.9% |
| Chess Puzzles | 47% | 31% |
| LMArena Hard Prompts | 1494 | 1480 |
| Epoch Capabilities Index | 157.27 | 152.92 |
| SimpleBench | — | 76.4% |
| Kagi LLM Benchmark | — | 80.1% |
| EnigmaEval | — | 18.2% |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| ForecastBench | — | 61.2 |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Gemini 3 Pro: 49.9 (#59)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 91.4% |
| ProofBench | 58% | 20% |
| LMArena Math | 1507 | 1476 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| MathArena Final-Answer Competitions | — | 67% |
| Omni-MATH | — | 55.5% |
| FrontierMath (Feb 2025 set) | — | 37.6% |
| FrontierMath Tier 4 (v1) | — | 18.8% |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Gemini 3 Pro: 64.4 (#16)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| GPQA Diamond | 94.8% | 92.6% |
| LMArena Expert | 1508 | 1475 |
| Humanity's Last Exam | — | 37.5% |
| SimpleQA Verified | 69.2% | — |
| MMLU-Pro | — | 90.3% |
| Vectara Hallucination Rate | — | 13.6% |
| GPQA (HELM) | — | 80.3% |
Multimodal Gemini 3 Pro leads
Gemini 3.7 Flash: 37.3 (#73), Gemini 3 Pro: 57.6 (#2)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena Vision | 1316 | 1305 |
| GeoBench | — | 84% |
| VPCT | — | 91% |
| Furniture Assembly | 26.7% | — |
| LMArena Document | — | 1434 |
Multilingual Too close to call
Gemini 3.7 Flash: 57.6 (#7), Gemini 3 Pro: 56.9 (#16)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena Non-English | 1484 | 1474 |
| LMArena Chinese | 1548 | 1523 |
| LMArena French | 1505 | 1492 |
| LMArena German | 1498 | 1515 |
| LMArena Japanese | 1512 | 1510 |
| LMArena Korean | 1483 | 1448 |
| LMArena Russian | 1516 | 1493 |
| LMArena Spanish | 1503 | 1470 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Gemini 3 Pro: 76.3 (#45)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena Instruction Following | 1483 | 1458 |
| IFEval | — | 87.7% |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), Gemini 3 Pro: 44.0 (#79)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena Longer Query | 1492 | 1471 |
| CL-bench | — | 15.8% |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), Gemini 3 Pro: 66.4 (#35)
| Benchmark | Gemini 3.7 Flash | Gemini 3 Pro |
|---|---|---|
| LMArena Text | 1486 | 1479 |
| LMArena Creative Writing | 1490 | 1482 |
| EQ-Bench Creative Writing | 1723 | 1525 |
| LMArena Multi-Turn | 1489 | 1484 |
| WildBench | — | 85.9% |
Frequently asked questions
Is Gemini 3.7 Flash better than Gemini 3 Pro?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 54.8 on the Noometry Index.
Is Gemini 3.7 Flash or Gemini 3 Pro better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3.7 Flash and Gemini 3 Pro share?
31 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Gemini 3 Pro has 67.