Model comparison
Gemini 2.5 Pro vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 45.0 on the Noometry Index.
Last verified . 32 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 32 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 4 categories and Qwen3.6 Plus in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.6 Plus leads 51.8 to 32.5.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 24.6% for Gemini 2.5 Pro and 38.2% for Qwen3.6 Plus.
- Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Pro | Qwen3.6 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 45.0 | 47.5 |
| Released | 2025-03-25 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 66K |
| Input $ / M tokens | $1.25 | $0.50 |
| Output $ / M tokens | $10 | $3 |
| Results tracked | 78 | 37 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| SWE-bench Verified | 57.6% | 57.9% |
| LMArena WebDev | 1227 | 1461 |
| SciCode | 42.8% | 40.7% |
| LMArena Coding | 1452 | 1467 |
| ALE-Bench | 785.52 | 670.15 |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Qwen3.6 Plus: —
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | 573.64 | 5,115 |
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
Reasoning Too close to call
Gemini 2.5 Pro: 28.8 (#99), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| CritPt | 2% | 2.9% |
| Chess Puzzles | 20% | 17% |
| LMArena Hard Prompts | 1455 | 1449 |
| DTBench | 82.4% | 81.9% |
| LMCA | 34.8% | 33.1% |
| Epoch Capabilities Index | 145.32 | 147.65 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 60.3% |
| ARC-AGI-1 | 41% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 59.5% |
| LiveBench Reasoning | 89.8% | — |
| Mystery Game Puzzles | — | 12% |
| LiveBench Data Analysis | 79.9% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Qwen3.6 Plus leads
Gemini 2.5 Pro: 32.5 (#213), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 38.2% |
| OTIS Mock AIME 2024-2025 | 84.7% | 93.3% |
| LMArena Math | 1450 | 1450 |
| FrontierMath (Feb 2025 set) | 14.1% | 26.2% |
| FrontierMath Tier 4 (v1) | 4.2% | 8.3% |
| FrontierMath Tier 4 | 0% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
Knowledge Too close to call
Gemini 2.5 Pro: 56.0 (#46), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 85.3% | 88.4% |
| LMArena Expert | 1452 | 1454 |
| Humanity's Last Exam | 21.6% | — |
| SimpleQA Verified | — | 44.1% |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Qwen3.6 Plus: —
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1451 | 1424 |
| LMArena Chinese | 1507 | 1477 |
| LMArena French | 1472 | 1455 |
| LMArena German | 1487 | 1452 |
| LMArena Japanese | 1461 | 1389 |
| LMArena Korean | 1434 | 1379 |
| LMArena Russian | 1461 | 1434 |
| LMArena Spanish | 1473 | 1432 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.0 (#75), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1437 | 1425 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1449 | 1439 |
| Fiction.LiveBench | 91.7% | — |
| CL-bench | — | 20.3% |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Gemini 2.5 Pro | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1458 | 1437 |
| LMArena Creative Writing | 1454 | 1404 |
| LMArena Multi-Turn | 1453 | 1438 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 45.0 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or Qwen3.6 Plus?
Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Qwen3.6 Plus better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Pro and Qwen3.6 Plus share?
32 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Qwen3.6 Plus has 37.