Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3.5-9B
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 33.8 on the Noometry Index.
Last verified . 4 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and Qwen3.5-9B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 32.0.
- The biggest single-benchmark swing is GPQA Diamond: 64.1% for Gemini 2.0 Flash (Feb 2025) and 79% for Qwen3.5-9B.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 35.1 | 33.8 |
| Released | 2024-12-06 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 54 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 27.5% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| LMArena Coding | 1350 | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Qwen3.5-9B: 14.5 (#151)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| TheAgentCompany | 11.4% | — |
Reasoning Qwen3.5-9B leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| DTBench | 63.2% | 71.2% |
| Epoch Capabilities Index | 135.36 | 139.46 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LMArena Hard Prompts | 1346 | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 24.5% |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1352 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3.5-9B leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 64.1% | 79% |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| LMArena Expert | 1339 | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Qwen3.5-9B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Not comparable
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Qwen3.5-9B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1342 | — |
| LMArena Chinese | 1373 | — |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Not comparable
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Qwen3.5-9B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
| LMArena Instruction Following | 1336 | — |
Long Context Not comparable
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Qwen3.5-9B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Qwen3.5-9B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1354 | — |
| LMArena Creative Writing | 1340 | — |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1350 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3.5-9B?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 33.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3.5-9B share?
4 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3.5-9B has 10.