Model comparison
Gemini 2.5 Flash-Lite vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 4.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Qwen3.7 Plus in 8 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 32.5.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 84% for Qwen3.7 Plus.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Flash-Lite | Qwen3.7 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 45.3 |
| Released | 2025-06-17 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.10 | $0.40 |
| Output $ / M tokens | $0.40 | $1.60 |
| Results tracked | 33 | 32 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1373 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1460 |
| DTBench | 62.8% | 84% |
| LMCA | 18.1% | 37.6% |
| Epoch Capabilities Index | 133.94 | 147.37 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
Math Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1373 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| Omni-MATH | 48% | — |
Knowledge Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1373 | 1467 |
| GPQA Diamond | — | 87.9% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1198 | 1279 |
| VPCT | 30% | — |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1369 | 1445 |
| LMArena Chinese | 1404 | 1510 |
| LMArena French | 1388 | 1473 |
| LMArena German | 1389 | 1471 |
| LMArena Japanese | 1359 | 1413 |
| LMArena Korean | 1360 | 1415 |
| LMArena Russian | 1373 | 1457 |
| LMArena Spanish | 1396 | 1457 |
Instruction Following Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1367 | 1440 |
| IFEval | 81% | — |
Long Context Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1373 | 1455 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Qwen3.7 Plus leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1379 | 1455 |
| LMArena Creative Writing | 1367 | 1439 |
| LMArena Multi-Turn | 1366 | 1460 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 4.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3.7 Plus?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Is Gemini 2.5 Flash-Lite or Qwen3.7 Plus better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 36.6 in the Noometry coding category.
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 Plus share?
21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3.7 Plus has 32.