Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 34.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and Qwen3.5 397B-A17B in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 32.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 73.7% for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 34.8 | 45.7 |
| Released | 2024-12-06 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 54 | 36 |
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Category by category
Coding Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Qwen3.5 397B-A17B: 41.7 (#108)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 1351 | 1464 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1400 |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Qwen3.5 397B-A17B: 33.2 (#51)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| TheAgentCompany | 11.4% | — |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Qwen3.5 397B-A17B: 33.6 (#62)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 73.7% |
| LMArena Hard Prompts | 1346 | 1448 |
| DTBench | 63.2% | 87.5% |
| Epoch Capabilities Index | 135.36 | 146.64 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| NYT Connections (extended) | — | 58.9% |
| Chess Puzzles | — | 13% |
| EnigmaEval | 1.1% | — |
| Thematic Generalization | — | 65.1% |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 18% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 37.9% |
| LiveBench | 66.9% | — |
Math Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Qwen3.5 397B-A17B: 44.9 (#64)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 88.9% |
| LMArena Math | 1351 | 1455 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Qwen3.5 397B-A17B: 53.3 (#53)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 64.1% | 86.4% |
| LMArena Expert | 1340 | 1461 |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Qwen3.5 397B-A17B: 40.0 (#42)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | 1158 | 1262 |
| GeoBench | 77% | — |
Multilingual Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Qwen3.5 397B-A17B: 54.0 (#56)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1342 | 1431 |
| LMArena Chinese | 1373 | 1501 |
| LMArena French | 1390 | 1461 |
| LMArena German | 1354 | 1447 |
| LMArena Japanese | 1293 | 1427 |
| LMArena Korean | 1314 | 1382 |
| LMArena Russian | 1351 | 1429 |
| LMArena Spanish | 1363 | 1443 |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Qwen3.5 397B-A17B: 75.2 (#73)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1336 | 1424 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Qwen3.5 397B-A17B: 44.1 (#71)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1345 | 1442 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Qwen3.5 397B-A17B leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Qwen3.5 397B-A17B: 62.5 (#74)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1354 | 1438 |
| LMArena Creative Writing | 1340 | 1401 |
| EQ-Bench Creative Writing | 1128 | 1478 |
| LMArena Multi-Turn | 1350 | 1447 |
| Short-Story Creative Writing | 73.8% | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 41.7 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3.5 397B-A17B share?
24 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3.5 397B-A17B has 36.