Model comparison
Gemini 1.5 Pro (May 2024) vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 31.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 24.7 to 12.3.
- The biggest single-benchmark swing is WeirdML: 22.2% for Gemini 1.5 Pro (May 2024) and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 31.9 | 37.7 |
| Released | 2024-02-15 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 45 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 33.8 (#239), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 22.2% | 41.2% |
| LMArena Coding | 1294 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 17.8 (#137), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1372 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 49.5% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 24.4 (#260), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1315 | 1364 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 29.3 (#228), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1279 | 1337 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.2 (#72), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 45.5 (#169), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1312 | 1345 |
| LMArena Chinese | 1331 | 1356 |
| LMArena French | 1301 | 1394 |
| LMArena German | 1286 | 1324 |
| LMArena Japanese | 1292 | 1309 |
| LMArena Korean | 1298 | 1307 |
| LMArena Russian | 1320 | 1367 |
| LMArena Spanish | 1310 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 68.8 (#180), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1297 | 1356 |
| IFEval | 83.7% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 39.7 (#164), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1308 | 1379 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1319 | 1356 |
| LMArena Creative Writing | 1333 | 1333 |
| LMArena Multi-Turn | 1296 | 1365 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 31.9 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 33.8 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen3-Coder 480B-A35B Instruct share?
18 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.