Model comparison
Gemini 1.5 Flash (May 2024) vs Qwen2.5-Coder-32B
Gemini 1.5 Flash (May 2024) and Qwen2.5-Coder-32B score almost the same on the Noometry Index (33.2 vs 33.4), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and Qwen2.5-Coder-32B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemini 1.5 Flash (May 2024) leads 34.4 to 22.6.
- The biggest single-benchmark swing is BigCodeBench Instruct: 43.5% for Gemini 1.5 Flash (May 2024) and 49% for Qwen2.5-Coder-32B.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 33.2 | 33.4 |
| Released | 2024-05-14 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 42 | 31 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| BigCodeBench Instruct | 43.5% | 49% |
| LMArena Coding | 1261 | 1276 |
| BigCodeBench Complete | 55.1% | 58% |
| HumanEval+ | 75.6% | 87.2% |
| MBPP+ | 67.5% | 77% |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| WeirdML | 24.9% | — |
| LiveBench Coding | — | 56.9% |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), Qwen2.5-Coder-32B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Too close to call
Gemini 1.5 Flash (May 2024): 21.7 (#215), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1251 |
| Epoch Capabilities Index | 129.36 | 119.49 |
| LiveBench Reasoning | — | 42.1% |
| DTBench | 53.8% | — |
| LiveBench Data Analysis | — | 49.9% |
| ForecastBench | 53.9 | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| PIQA | 87.5% | — |
| WinoGrande | — | 80.8% |
Math Qwen2.5-Coder-32B leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1269 | 1251 |
| GSM8K | 82.4% | 93% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| LiveBench Math | — | 46.6% |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Qwen2.5-Coder-32B leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1233 | 1221 |
| MMLU | 77.9% | 79.1% |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| ARC (AI2) Challenge | — | 70.5% |
| BoolQ | 85.8% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Qwen2.5-Coder-32B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1278 | 1205 |
| LMArena Chinese | 1295 | 1222 |
| LMArena Russian | 1288 | 1228 |
| LMArena French | 1258 | — |
| LMArena German | 1262 | — |
| LMArena Japanese | 1252 | — |
| LMArena Korean | 1221 | — |
| LMArena Spanish | 1243 | — |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1284 | 1251 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1287 | 1230 |
| LMArena Creative Writing | 1285 | 1174 |
| LMArena Multi-Turn | 1253 | 1222 |
| WildBench | 79.2% | — |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Qwen2.5-Coder-32B?
Gemini 1.5 Flash (May 2024) and Qwen2.5-Coder-32B score almost the same on the Noometry Index (33.2 vs 33.4), so choose on price, context window or the category you care about most.
Is Gemini 1.5 Flash (May 2024) or Qwen2.5-Coder-32B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 22.6 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Qwen2.5-Coder-32B share?
19 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Qwen2.5-Coder-32B has 31.