Model comparison
Gemini 2.5 Flash-Lite vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 14× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Qwen3 Max in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 32.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 72.5% for Qwen3 Max.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
Side by side
| Gemini 2.5 Flash-Lite | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 43.7 |
| Released | 2025-06-17 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $1.20 |
| Output $ / M tokens | $0.40 | $6 |
| Results tracked | 33 | 33 |
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Category by category
Coding Qwen3 Max leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen3 Max: 43.0 (#93)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1373 | 1456 |
| ALE-Bench | 325.9 | 370.45 |
| WeirdML | 35.2% | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen3 Max: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Too close to call
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen3 Max: 22.6 (#190)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 72.5% |
| LMArena Hard Prompts | 1377 | 1448 |
| DTBench | 62.8% | 82.1% |
| LMCA | 18.1% | 28.3% |
| Epoch Capabilities Index | 133.94 | 142.38 |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
Math Too close to call
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen3 Max: 38.7 (#131)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Math | 1373 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 97.1% |
Knowledge Qwen3 Max leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen3 Max: 48.1 (#78)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Expert | 1373 | 1455 |
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen3 Max: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Qwen3 Max leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen3 Max: 53.7 (#62)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1369 | 1429 |
| LMArena Chinese | 1404 | 1478 |
| LMArena French | 1388 | 1449 |
| LMArena German | 1389 | 1463 |
| LMArena Japanese | 1359 | 1397 |
| LMArena Korean | 1360 | 1399 |
| LMArena Russian | 1373 | 1428 |
| LMArena Spanish | 1396 | 1462 |
Instruction Following Qwen3 Max leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen3 Max: 74.8 (#87)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1367 | 1419 |
| IFEval | 81% | — |
Long Context Qwen3 Max leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen3 Max: 41.6 (#134)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 47.2% | 66.7% |
| LMArena Longer Query | 1373 | 1438 |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen3 Max: 62.4 (#76)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3 Max |
|---|---|---|
| LMArena Text | 1379 | 1439 |
| LMArena Creative Writing | 1367 | 1402 |
| LMArena Multi-Turn | 1366 | 1446 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 14× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3 Max?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Gemini 2.5 Flash-Lite or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen3 Max share?
23 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3 Max has 33.