Model comparison
Gemini 2.5 Flash vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 39.3 on the Noometry Index.
Last verified . 26 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 26 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 2 categories and Qwen3.6 Plus in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 36.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 93.3% for Qwen3.6 Plus.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Flash | Qwen3.6 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 47.5 |
| Released | 2025-04-17 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.30 | $0.50 |
| Output $ / M tokens | $2.50 | $3 |
| Results tracked | 54 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
Gemini 2.5 Flash: 35.8 (#220), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1424 | 1467 |
| ALE-Bench | 661.88 | 670.15 |
| SWE-bench Verified | — | 57.9% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| WeirdML | 41.9% | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Qwen3.6 Plus: —
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | 548.84 | 5,115 |
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
Reasoning Qwen3.6 Plus leads
Gemini 2.5 Flash: 18.1 (#286), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| CritPt | 1.1% | 2.9% |
| LMArena Hard Prompts | 1422 | 1449 |
| DTBench | 76.5% | 81.9% |
| LMCA | 27.5% | 33.1% |
| Epoch Capabilities Index | 143.03 | 147.65 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| NYT Connections (extended) | — | 60.3% |
| ARC-AGI-1 | 33.3% | — |
| Chess Puzzles | — | 17% |
| EnigmaEval | 2.7% | — |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| ForecastBench | 60.6 | — |
Math Qwen3.6 Plus leads
Gemini 2.5 Flash: 39.9 (#98), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 93.3% |
| LMArena Math | 1415 | 1450 |
| FrontierMath (Feb 2025 set) | 4.8% | 26.2% |
| FrontierMath Tier 4 (v1) | 4.2% | 8.3% |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| Omni-MATH | 38.5% | — |
Knowledge Qwen3.6 Plus leads
Gemini 2.5 Flash: 36.4 (#168), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1426 | 1454 |
| GPQA Diamond | — | 88.4% |
| Humanity's Last Exam | 12.1% | — |
| SimpleQA Verified | — | 44.1% |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Qwen3.6 Plus: —
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Qwen3.6 Plus leads
Gemini 2.5 Flash: 52.3 (#88), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1409 | 1424 |
| LMArena Chinese | 1450 | 1477 |
| LMArena French | 1433 | 1455 |
| LMArena German | 1418 | 1452 |
| LMArena Japanese | 1405 | 1389 |
| LMArena Korean | 1385 | 1379 |
| LMArena Russian | 1415 | 1434 |
| LMArena Spanish | 1421 | 1432 |
Instruction Following Too close to call
Gemini 2.5 Flash: 75.7 (#54), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1405 | 1425 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1419 | 1439 |
| Fiction.LiveBench | 77.8% | — |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Gemini 2.5 Flash: 53.8 (#157), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Gemini 2.5 Flash | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1417 | 1437 |
| LMArena Creative Writing | 1400 | 1404 |
| LMArena Multi-Turn | 1408 | 1438 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 39.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Qwen3.6 Plus?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.
Is Gemini 2.5 Flash or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Flash and Qwen3.6 Plus share?
26 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen3.6 Plus has 37.