Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 34.8 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 0 categories and Qwen3.6 27B in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 32.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 91.1% for Qwen3.6 27B.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 34.8 | 41.9 |
| Released | 2024-12-06 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 54 | 11 |
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Category by category
Coding Qwen3.6 27B leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Qwen3.6 27B: 38.5 (#162)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 37.3% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| LMArena Coding | 1351 | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Qwen3.6 27B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning Qwen3.6 27B leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Qwen3.6 27B: 24.4 (#148)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| DTBench | 63.2% | 78.1% |
| Epoch Capabilities Index | 135.36 | 146.47 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LMArena Hard Prompts | 1346 | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 34.5% |
| LiveBench | 66.9% | — |
Math Qwen3.6 27B leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Qwen3.6 27B: 47.5 (#56)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1351 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3.6 27B leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Qwen3.6 27B: 52.4 (#58)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 64.1% | 85.9% |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| LMArena Expert | 1340 | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Qwen3.6 27B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Not comparable
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Qwen3.6 27B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1342 | — |
| LMArena Chinese | 1373 | — |
| LMArena French | 1390 | — |
| LMArena German | 1354 | — |
| LMArena Japanese | 1293 | — |
| LMArena Korean | 1314 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Not comparable
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Qwen3.6 27B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
| LMArena Instruction Following | 1336 | — |
Long Context Not comparable
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Qwen3.6 27B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1345 | — |
Writing & Preference Too close to call
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Qwen3.6 27B: 50.3 (#180)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1354 | — |
| LMArena Creative Writing | 1340 | — |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1350 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 38.5 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3.6 27B share?
4 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3.6 27B has 11.