Model comparison
Gemini 1.5 Flash (May 2024) vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Max leads 36.9 to 22.1.
Side by side
| Gemini 1.5 Flash (May 2024) | Qwen2.5-Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 33.2 | 40.7 |
| Released | 2024-05-14 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1261 | 1359 |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| LiveBench Coding | — | 64.4% |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), Qwen2.5-Max: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1360 |
| Epoch Capabilities Index | 129.36 | 132.53 |
| LiveBench Reasoning | — | 51.4% |
| DTBench | 53.8% | — |
| LiveBench Data Analysis | — | 67.9% |
| ForecastBench | 53.9 | — |
| LiveBench | — | 62.3% |
| PIQA | 87.5% | — |
Math Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1269 | 1369 |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| LiveBench Math | — | 58.4% |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1233 | 1337 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Confabulations | — | 21.8% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Qwen2.5-Max: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1278 | 1352 |
| LMArena Chinese | 1295 | 1382 |
| LMArena French | 1258 | 1396 |
| LMArena German | 1262 | 1350 |
| LMArena Japanese | 1252 | 1300 |
| LMArena Korean | 1221 | 1304 |
| LMArena Russian | 1288 | 1353 |
| LMArena Spanish | 1243 | 1377 |
Instruction Following Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1258 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
| IFEval | 83.1% | — |
Long Context Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1284 | 1358 |
Writing & Preference Qwen2.5-Max leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1287 | 1367 |
| LMArena Creative Writing | 1285 | 1339 |
| LMArena Multi-Turn | 1253 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| WildBench | 79.2% | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Qwen2.5-Max share?
18 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Qwen2.5-Max has 27.