Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 35.1 on the Noometry Index.
Last verified . 26 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 26 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 3 categories and Qwen3-30B-A3B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 32.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 61.1% for Gemini 2.0 Flash (Feb 2025) and 40.6% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 35.1 | 38.9 |
| Released | 2024-12-06 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 54 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 25.8% | 29.8% |
| LMArena Coding | 1350 | 1416 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 33.3% |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| TheAgentCompany | 11.4% | — |
Reasoning Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 54.9% |
| LMArena Hard Prompts | 1346 | 1398 |
| DTBench | 63.2% | 69.3% |
| Epoch Capabilities Index | 135.36 | 139.63 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 22.4% |
| LiveBench | 66.9% | — |
Math Too close to call
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 70.3% |
| LMArena Math | 1352 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 64.1% | 70.1% |
| Confabulations | 12.4% | 12.3% |
| LMArena Expert | 1339 | 1396 |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Qwen3-30B-A3B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1342 | 1372 |
| LMArena Chinese | 1373 | 1433 |
| LMArena French | 1391 | 1418 |
| LMArena German | 1353 | 1380 |
| LMArena Japanese | 1294 | 1337 |
| LMArena Korean | 1313 | 1331 |
| LMArena Russian | 1351 | 1370 |
| LMArena Spanish | 1363 | 1404 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1336 | 1363 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | 61.1% | 40.6% |
| LMArena Longer Query | 1344 | 1379 |
Writing & Preference Qwen3-30B-A3B leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1354 | 1384 |
| LMArena Creative Writing | 1340 | 1317 |
| Short-Story Creative Writing | 73.8% | 75.3% |
| LMArena Multi-Turn | 1350 | 1378 |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3-30B-A3B share?
26 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3-30B-A3B has 32.