Model comparison
Gemini 3.8 Flash vs Qwen3-Coder 480B-A35B Instruct
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 38.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 25.5.
- The biggest single-benchmark swing is WeirdML: 84.8% for Gemini 3.8 Flash and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Gemini 3.8 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 3.8 Flash | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 61.8 | 38.1 |
| Released | 2026-09-02 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.75 | $1.50 |
| Output $ / M tokens | $3.75 | $7.50 |
| Results tracked | 50 | 25 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1584 | 1275 |
| WeirdML | 84.8% | 41.2% |
| LMArena Coding | 1510 | 1412 |
| ALE-Bench | 1,270 | 461.45 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1372 |
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1528 | 1365 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1524 | 1338 |
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1491 | 1346 |
| LMArena Chinese | 1554 | 1357 |
| LMArena French | 1498 | 1398 |
| LMArena German | 1493 | 1325 |
| LMArena Japanese | 1502 | 1310 |
| LMArena Korean | 1459 | 1305 |
| LMArena Russian | 1515 | 1366 |
| LMArena Spanish | 1485 | 1360 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1490 | 1355 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1508 | 1378 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Gemini 3.8 Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1499 | 1357 |
| LMArena Creative Writing | 1492 | 1333 |
| LMArena Multi-Turn | 1501 | 1365 |
| EQ-Bench Creative Writing | 1748 | — |
Frequently asked questions
Is Gemini 3.8 Flash better than Qwen3-Coder 480B-A35B Instruct?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 38.1 on the Noometry Index.
Which is cheaper, Gemini 3.8 Flash or Qwen3-Coder 480B-A35B Instruct?
Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Gemini 3.8 Flash or Qwen3-Coder 480B-A35B Instruct better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.8 Flash and Qwen3-Coder 480B-A35B Instruct share?
20 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.