Model comparison
Gemini 2.5 Flash vs Qwen1.5-72B
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 30.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 7 categories and Qwen1.5-72B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Flash leads 36.1 to 11.5.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Qwen1.5-72B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.0 | 30.3 |
| Released | 2025-04-17 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 22 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.5 (#210), Qwen1.5-72B: 31.4 (#272)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1424 | 1166 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| ALE-Bench | 661.88 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.6 (#67), Qwen1.5-72B: —
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen1.5-72B leads
Gemini 2.5 Flash: 18.2 (#271), Qwen1.5-72B: 21.2 (#201)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1148 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.04 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 38.1 (#87), Qwen1.5-72B: 30.7 (#205)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1415 | 1164 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.1 (#162), Qwen1.5-72B: 11.5 (#295)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Expert | 1426 | 1136 |
| GPQA Diamond | — | 28.8% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.2 (#31), Qwen1.5-72B: —
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 1254 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.5 (#83), Qwen1.5-72B: 33.4 (#248)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1410 | 1135 |
| LMArena Chinese | 1450 | 1186 |
| LMArena French | 1433 | 1158 |
| LMArena German | 1419 | 1084 |
| LMArena Japanese | 1403 | 1061 |
| LMArena Korean | 1385 | 1049 |
| LMArena Russian | 1415 | 1104 |
| LMArena Spanish | 1421 | 1110 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.9 (#50), Qwen1.5-72B: 59.6 (#251)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1142 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#16), Qwen1.5-72B: 35.0 (#238)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1419 | 1157 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 54.0 (#153), Qwen1.5-72B: 37.4 (#253)
| Benchmark | Gemini 2.5 Flash | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1417 | 1166 |
| LMArena Creative Writing | 1400 | 1137 |
| LMArena Multi-Turn | 1408 | 1160 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen1.5-72B?
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 30.3 on the Noometry Index.
Is Gemini 2.5 Flash or Qwen1.5-72B better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.5 versus 31.4 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Qwen1.5-72B share?
17 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen1.5-72B has 22.