Model comparison
Gemini 2.0 Flash-Lite vs Qwen3-1.7B
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in math, where Gemini 2.0 Flash-Lite leads 31.8 to 15.4.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | Qwen3-1.7B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 26.2 |
| Released | 2025-02-05 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 4 |
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Category by category
Coding Not comparable
Gemini 2.0 Flash-Lite: 37.4 (#181), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1322 | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 21.2 (#203), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 50.1% | — |
| LMArena Hard Prompts | 1324 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 65.5% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 31.8 (#192), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | 1309 | — |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.6 (#185), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
| LMArena Expert | 1305 | — |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 30.6 (#103), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Not comparable
Gemini 2.0 Flash-Lite: 46.2 (#156), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1323 | — |
| LMArena Chinese | 1339 | — |
| LMArena French | 1346 | — |
| LMArena German | 1306 | — |
| LMArena Japanese | 1302 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1328 | — |
| LMArena Spanish | 1313 | — |
Instruction Following Not comparable
Gemini 2.0 Flash-Lite: 70.6 (#158), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
| LMArena Instruction Following | 1305 | — |
Long Context Not comparable
Gemini 2.0 Flash-Lite: 40.1 (#155), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1321 | — |
Writing & Preference Not comparable
Gemini 2.0 Flash-Lite: 51.9 (#172), Qwen3-1.7B: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1330 | — |
| LMArena Creative Writing | 1319 | — |
| WildBench | 79% | — |
| LMArena Multi-Turn | 1307 | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Qwen3-1.7B?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 26.2 on the Noometry Index.
How many benchmarks do Gemini 2.0 Flash-Lite and Qwen3-1.7B share?
0 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Qwen3-1.7B has 4.