Model comparison
Gemini 3.5 Flash vs Qwen3-30B-A3B
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 16× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 27 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Qwen3-30B-A3B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 22.2.
- The biggest single-benchmark swing is Chess Puzzles: 50% for Gemini 3.5 Flash and 8% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.5 Flash | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 54.2 | 38.9 |
| Released | 2026-05-19 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 41K |
| Max output | 66K | 16K |
| Input $ / M tokens | $1.50 | $0.12 |
| Output $ / M tokens | $9 | $0.50 |
| Results tracked | 54 | 32 |
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Category by category
Coding Gemini 3.5 Flash leads
Gemini 3.5 Flash: 49.4 (#49), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| SciCode | 53.1% | 33.3% |
| WeirdML | 62.6% | 29.8% |
| LMArena Coding | 1492 | 1416 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Gemini 3.5 Flash: 24.7 (#114), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| APEX-Agents | 27.5% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.8 (#18), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| CritPt | 13.1% | 0.3% |
| Chess Puzzles | 50% | 8% |
| LMArena Hard Prompts | 1488 | 1398 |
| DTBench | 94.7% | 69.3% |
| LMCA | 47.1% | 22.4% |
| Epoch Capabilities Index | 154.46 | 139.63 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |
Math Gemini 3.5 Flash leads
Gemini 3.5 Flash: 60.7 (#36), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | 76.3% | 47.8% |
| OTIS Mock AIME 2024-2025 | 95.6% | 70.3% |
| LMArena Math | 1504 | 1394 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#11), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 92.8% | 70.1% |
| LMArena Expert | 1495 | 1396 |
| SimpleQA Verified | 66.2% | — |
| Confabulations | — | 12.3% |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Qwen3-30B-A3B: —
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Gemini 3.5 Flash leads
Gemini 3.5 Flash: 57.0 (#13), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1476 | 1372 |
| LMArena Chinese | 1526 | 1433 |
| LMArena French | 1490 | 1418 |
| LMArena German | 1492 | 1380 |
| LMArena Japanese | 1486 | 1337 |
| LMArena Korean | 1451 | 1331 |
| LMArena Russian | 1493 | 1370 |
| LMArena Spanish | 1480 | 1404 |
Instruction Following Gemini 3.5 Flash leads
Gemini 3.5 Flash: 77.0 (#30), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1467 | 1363 |
Long Context Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.4 (#38), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1482 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#47), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Gemini 3.5 Flash | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1482 | 1384 |
| LMArena Creative Writing | 1470 | 1317 |
| LMArena Multi-Turn | 1481 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| EQ-Bench 4 | 1087 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Qwen3-30B-A3B?
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 16× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.5 Flash or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Is Gemini 3.5 Flash or Qwen3-30B-A3B better for coding?
Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 41K.
How many benchmarks do Gemini 3.5 Flash and Qwen3-30B-A3B share?
27 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Qwen3-30B-A3B has 32.