Model comparison
Gemini 2.5 Flash vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 39.3 on the Noometry Index.
Last verified . 23 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 23 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 3 categories and Qwen3.7 Plus in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Plus leads 39.3 to 18.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 93.3% for Qwen3.7 Plus.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Flash | Qwen3.7 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 45.3 |
| Released | 2025-04-17 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.30 | $0.40 |
| Output $ / M tokens | $2.50 | $1.60 |
| Results tracked | 54 | 32 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.8 (#220), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1424 | 1473 |
| FrontierCode | — | 10.2% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| SciCode | — | 45.5% |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| OSWorld 2.0 | — | 2.8% |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen3.7 Plus leads
Gemini 2.5 Flash: 18.1 (#286), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| CritPt | 1.1% | 9.1% |
| LMArena Hard Prompts | 1422 | 1460 |
| DTBench | 76.5% | 84% |
| LMCA | 27.5% | 37.6% |
| Epoch Capabilities Index | 143.03 | 147.37 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | 33.3% | — |
| Chess Puzzles | — | 24% |
| EnigmaEval | 2.7% | — |
| Mystery Game Puzzles | — | 17% |
| ForecastBench | 60.6 | — |
Math Qwen3.7 Plus leads
Gemini 2.5 Flash: 39.9 (#98), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 93.3% |
| LMArena Math | 1415 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Qwen3.7 Plus leads
Gemini 2.5 Flash: 36.4 (#168), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1426 | 1467 |
| GPQA Diamond | — | 87.9% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Too close to call
Gemini 2.5 Flash: 41.8 (#32), Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1253 | 1279 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| LMArena Document | — | 1444 |
| SpatialViz-Bench | 36.9% | — |
Multilingual Qwen3.7 Plus leads
Gemini 2.5 Flash: 52.3 (#88), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1409 | 1445 |
| LMArena Chinese | 1450 | 1510 |
| LMArena French | 1433 | 1473 |
| LMArena German | 1418 | 1471 |
| LMArena Japanese | 1405 | 1413 |
| LMArena Korean | 1385 | 1415 |
| LMArena Russian | 1415 | 1457 |
| LMArena Spanish | 1421 | 1457 |
Instruction Following Too close to call
Gemini 2.5 Flash: 75.7 (#54), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1405 | 1440 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1419 | 1455 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Qwen3.7 Plus leads
Gemini 2.5 Flash: 53.8 (#157), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Gemini 2.5 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1417 | 1455 |
| LMArena Creative Writing | 1400 | 1439 |
| LMArena Multi-Turn | 1408 | 1460 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 39.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or Qwen3.7 Plus better for coding?
They score almost the same on coding (35.8 vs 36.6); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Flash and Qwen3.7 Plus share?
23 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen3.7 Plus has 32.