Model comparison
Gemini 3.8 Flash vs Qwen3 32B
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 39.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Qwen3 32B 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 20.2.
- The biggest single-benchmark swing is Chess Puzzles: 61% for Gemini 3.8 Flash and 5% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 61.8 | 39.2 |
| Released | 2026-09-02 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 16K |
| Input $ / M tokens | $0.75 | $0.70 |
| Output $ / M tokens | $3.75 | $2.80 |
| Results tracked | 50 | 26 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Qwen3 32B: 37.7 (#190)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| SciCode | 56.6% | 35.4% |
| LMArena Coding | 1510 | 1358 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| Aider Polyglot | — | 40% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| WeirdML | 84.8% | — |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), Qwen3 32B: 32.6 (#62)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Berkeley Function Calling Leaderboard | — | 48.7% |
| 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 32B: 20.2 (#241)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| CritPt | 18.3% | 0.3% |
| Chess Puzzles | 61% | 5% |
| LMArena Hard Prompts | 1508 | 1334 |
| DTBench | 95.7% | 67.5% |
| LMCA | 52.9% | 17.3% |
| Epoch Capabilities Index | 156.71 | 138.51 |
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| Mystery Game Puzzles | 47% | — |
| Surface Evolver Bench | 76.9% | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Qwen3 32B: 39.7 (#99)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 66.9% |
| LMArena Math | 1528 | 1399 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Qwen3 32B: 40.0 (#125)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 95.4% | 65.7% |
| LMArena Expert | 1524 | 1362 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| Vectara Hallucination Rate | — | 5.9% |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Qwen3 32B: —
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| 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 32B: 45.6 (#167)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1491 | 1317 |
| LMArena Chinese | 1554 | 1357 |
| LMArena German | 1493 | 1341 |
| LMArena Russian | 1515 | 1311 |
| LMArena French | 1498 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |
| LMArena Spanish | 1485 | — |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Qwen3 32B: 68.9 (#179)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1490 | 1305 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Qwen3 32B: 43.8 (#87)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1508 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Qwen3 32B: 52.9 (#163)
| Benchmark | Gemini 3.8 Flash | Qwen3 32B |
|---|---|---|
| LMArena Text | 1499 | 1340 |
| LMArena Creative Writing | 1492 | 1297 |
| LMArena Multi-Turn | 1501 | 1331 |
| EQ-Bench Creative Writing | 1748 | — |
Frequently asked questions
Is Gemini 3.8 Flash better than Qwen3 32B?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 39.2 on the Noometry Index.
Which is cheaper, Gemini 3.8 Flash or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.
Is Gemini 3.8 Flash or Qwen3 32B better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.8 Flash and Qwen3 32B share?
21 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Qwen3 32B has 26.