Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 35.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and Qwen3.6 Plus in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 32.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 93.3% for Qwen3.6 Plus.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 35.1 | 47.5 |
| Released | 2024-12-06 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 54 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1350 | 1467 |
| SWE-bench Verified | — | 57.9% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Qwen3.6 Plus: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| TheAgentCompany | 11.4% | — |
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1449 |
| DTBench | 63.2% | 81.9% |
| Epoch Capabilities Index | 135.36 | 147.65 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| EnigmaEval | 1.1% | — |
| Thematic Generalization | — | 59.5% |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 12% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 33.1% |
| LiveBench | 66.9% | — |
Math Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 93.3% |
| LMArena Math | 1352 | 1450 |
| FrontierMath (Feb 2025 set) | 1.7% | 26.2% |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 64.1% | 88.4% |
| LMArena Expert | 1339 | 1454 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 44.1% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Qwen3.6 Plus: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1342 | 1424 |
| LMArena Chinese | 1373 | 1477 |
| LMArena French | 1391 | 1455 |
| LMArena German | 1353 | 1452 |
| LMArena Japanese | 1294 | 1389 |
| LMArena Korean | 1313 | 1379 |
| LMArena Russian | 1351 | 1434 |
| LMArena Spanish | 1363 | 1432 |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1336 | 1425 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1344 | 1439 |
| Fiction.LiveBench | 61.1% | — |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1354 | 1437 |
| LMArena Creative Writing | 1340 | 1404 |
| LMArena Multi-Turn | 1350 | 1438 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3.6 Plus share?
22 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3.6 Plus has 37.