Model comparison
Gemini 2.5 Flash-Lite vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 32.5.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Flash-Lite | Qwen3.7 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 39.9 |
| Released | 2025-06-17 | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.10 | $0.03 |
| Output $ / M tokens | $0.40 | $0.13 |
| Results tracked | 33 | 7 |
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Category by category
Coding Not comparable
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Qwen3.7 Flash leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| Epoch Capabilities Index | 133.94 | 144.64 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1377 | — |
| Mystery Game Puzzles | — | 15% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
Math Too close to call
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
Knowledge Qwen3.7 Flash leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen3.7 Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1367 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1366 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.0 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen3.7 Flash share?
1 benchmark has published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3.7 Flash has 7.