Model comparison
Gemini 2.5 Flash vs Qwen3-Coder 480B-A35B Instruct
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 38.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 18.1.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 28.7% for Gemini 2.5 Flash and 55.4% for Qwen3-Coder 480B-A35B Instruct.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 38.1 |
| Released | 2025-04-17 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $2.50 | $7.50 |
| Results tracked | 54 | 25 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.8 (#220), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 55.4% |
| WeirdML | 41.9% | 41.2% |
| LMArena Coding | 1424 | 1412 |
| ALE-Bench | 661.88 | 461.45 |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | 17.1% | 27.2% |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash: 18.1 (#286), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 49.5% |
| LMArena Hard Prompts | 1422 | 1372 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1415 | 1365 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Too close to call
Gemini 2.5 Flash: 36.4 (#168), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1426 | 1338 |
| 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: 41.8 (#32), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1409 | 1346 |
| LMArena Chinese | 1450 | 1357 |
| LMArena French | 1433 | 1398 |
| LMArena German | 1418 | 1325 |
| LMArena Japanese | 1405 | 1310 |
| LMArena Korean | 1385 | 1305 |
| LMArena Russian | 1415 | 1366 |
| LMArena Spanish | 1421 | 1360 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1405 | 1355 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1419 | 1378 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Gemini 2.5 Flash: 53.8 (#157), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Gemini 2.5 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1417 | 1357 |
| LMArena Creative Writing | 1400 | 1333 |
| LMArena Multi-Turn | 1408 | 1365 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen3-Coder 480B-A35B Instruct?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 38.1 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Qwen3-Coder 480B-A35B Instruct?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Gemini 2.5 Flash or Qwen3-Coder 480B-A35B Instruct better for coding?
They score almost the same on coding (35.8 vs 35.5); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash and Qwen3-Coder 480B-A35B Instruct share?
22 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.