Model comparison
Gemini 2.5 Flash-Lite vs Qwen3.5-9B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 33.3 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 3 categories and Qwen3.5-9B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 32.1.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 71.2% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 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 262K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen3.5-9B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 36.4 | 33.3 |
| Released | 2025-06-17 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $0.10 |
| Output $ / M tokens | $0.40 | $0.15 |
| Results tracked | 33 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#167), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 27.8 (#89), Qwen3.5-9B: 14.4 (#143)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Qwen3.5-9B leads
Gemini 2.5 Flash-Lite: 21.5 (#196), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| DTBench | 62.8% | 71.2% |
| LMCA | 18.1% | 24.5% |
| Epoch Capabilities Index | 133.93 | 139.45 |
| Kagi LLM Benchmark | 40.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1377 | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 35.5 (#144), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
Knowledge Qwen3.5-9B leads
Gemini 2.5 Flash-Lite: 32.1 (#206), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 28.6 (#109), Qwen3.5-9B: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.5 (#129), Qwen3.5-9B: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.2 (#163), Qwen3.5-9B: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#257), Qwen3.5-9B: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 57.0 (#130), Qwen3.5-9B: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1366 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1367 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen3.5-9B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 33.3 on the Noometry Index. Qwen3.5-9B costs 1.6× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.
Is Gemini 2.5 Flash-Lite or Qwen3.5-9B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 35.3 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 Qwen3.5-9B share?
3 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3.5-9B has 10.