Model comparison
Gemini 2.5 Pro vs Qwen2.5 72B Instruct
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.9 on the Noometry Index.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Qwen2.5 72B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 27.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 8.1% for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct is cheaper at $1.40 / $5.60 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 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 45.0 | 31.9 |
| Released | 2025-03-25 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $1.25 | $1.40 |
| Output $ / M tokens | $10 | $5.60 |
| Results tracked | 78 | 43 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | 54% | 16% |
| LMArena Coding | 1452 | 1292 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| BigCodeBench Instruct | — | 45.8% |
| LiveBench Coding | 85.9% | — |
| BigCodeBench Complete | — | 55.9% |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | 30.3% | 5.7% |
| BALROG | 43.3% | 16.2% |
| METR Time Horizons | 55.4% | 35.8% |
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1142 | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1271 |
| DTBench | 82.4% | 62.9% |
| LMCA | 34.8% | 13.4% |
| Epoch Capabilities Index | 145.32 | 129 |
| ForecastBench | 61.3 | 57.5 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| BIG-Bench Hard | — | 79.8% |
| HellaSwag | — | 84.8% |
| LiveBench | 82.3% | — |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 8.1% |
| Omni-MATH | 41.6% | 33% |
| LMArena Math | 1450 | 1283 |
| MATH Level 5 | 95.9% | 63.2% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| LiveBench Math | 90.2% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 85.3% | 49.1% |
| MMLU-Pro | 86.3% | 63.1% |
| Confabulations | 10.6% | 19.1% |
| GPQA (HELM) | 74.9% | 42.6% |
| LMArena Expert | 1452 | 1245 |
| Humanity's Last Exam | 21.6% | — |
| Vectara Hallucination Rate | 7% | — |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Qwen2.5 72B Instruct: —
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| 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), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1451 | 1252 |
| LMArena Chinese | 1507 | 1272 |
| LMArena French | 1472 | 1280 |
| LMArena German | 1487 | 1234 |
| LMArena Japanese | 1461 | 1180 |
| LMArena Korean | 1434 | 1188 |
| LMArena Russian | 1461 | 1264 |
| LMArena Spanish | 1473 | 1256 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | 84% | 80.6% |
| LMArena Instruction Following | 1437 | 1254 |
| LiveBench Instruction Following | 80.6% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1449 | 1282 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Gemini 2.5 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1458 | 1269 |
| LMArena Creative Writing | 1454 | 1221 |
| WildBench | 85.7% | 80.2% |
| LMArena Multi-Turn | 1453 | 1272 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Qwen2.5 72B Instruct?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper. It lists at $1.40 per million input tokens and $5.60 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Qwen2.5 72B Instruct better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 33.2 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Pro and Qwen2.5 72B Instruct share?
34 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Qwen2.5 72B Instruct has 43.