Model comparison
Gemini 3.7 Flash vs Qwen3 Max
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.5 on the Noometry Index.
Last verified . 28 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 28 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Qwen3 Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 22.0.
- The biggest single-benchmark swing is NYT Connections (extended): 94% for Gemini 3.7 Flash and 30.1% for Qwen3 Max.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 262K.
Side by side
| Gemini 3.7 Flash | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 59.8 | 43.5 |
| Released | 2026-08-13 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.75 | $1.20 |
| Output $ / M tokens | $3.75 | $6 |
| Results tracked | 44 | 33 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 55.7 (#19), Qwen3 Max: 42.4 (#93)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1499 | 1456 |
| ALE-Bench | 904.3 | 370.45 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.2 (#18), Qwen3 Max: —
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.1 (#12), Qwen3 Max: 22.0 (#186)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| NYT Connections (extended) | 94% | 30.1% |
| Chess Puzzles | 47% | 4% |
| LMArena Hard Prompts | 1497 | 1448 |
| Mystery Game Puzzles | 37% | 5% |
| DTBench | 96.8% | 82.1% |
| LMCA | 50.4% | 28.3% |
| Epoch Capabilities Index | 157.72 | 142.41 |
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 72.5% |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.5 (#18), Qwen3 Max: 37.6 (#94)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | 18.9% |
| OTIS Mock AIME 2024-2025 | 97.2% | 73.3% |
| LMArena Math | 1511 | 1447 |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| MATH Level 5 | — | 97.1% |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.8 (#4), Qwen3 Max: 48.1 (#72)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 94.8% | 72.6% |
| SimpleQA Verified | 69.2% | 48.7% |
| LMArena Expert | 1508 | 1457 |
Multimodal Not comparable
Gemini 3.7 Flash: 36.9 (#69), Qwen3 Max: —
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.8 (#7), Qwen3 Max: 53.9 (#58)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1485 | 1429 |
| LMArena Chinese | 1553 | 1479 |
| LMArena French | 1512 | 1450 |
| LMArena German | 1485 | 1463 |
| LMArena Japanese | 1506 | 1399 |
| LMArena Korean | 1486 | 1397 |
| LMArena Russian | 1519 | 1428 |
| LMArena Spanish | 1507 | 1463 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 78.0 (#12), Qwen3 Max: 75.0 (#81)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1486 | 1420 |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.8 (#28), Qwen3 Max: 41.6 (#129)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1493 | 1439 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.4 (#19), Qwen3 Max: 62.6 (#72)
| Benchmark | Gemini 3.7 Flash | Qwen3 Max |
|---|---|---|
| LMArena Text | 1487 | 1439 |
| LMArena Creative Writing | 1490 | 1401 |
| LMArena Multi-Turn | 1495 | 1446 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than Qwen3 Max?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.5 on the Noometry Index.
Which is cheaper, Gemini 3.7 Flash or Qwen3 Max?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Gemini 3.7 Flash or Qwen3 Max better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.7 Flash and Qwen3 Max share?
28 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen3 Max has 33.