Model comparison
Gemini 1.5 Flash (May 2024) vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 32.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.7 to 26.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 70.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.9 | 38.5 |
| Released | 2024-05-14 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 42 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 33.9 (#233), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 24.9% | 29.8% |
| LMArena Coding | 1262 | 1416 |
| SciCode | — | 33.3% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 26.3 (#97), Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| BALROG | 14.6% | — |
Reasoning Too close to call
Gemini 1.5 Flash (May 2024): 20.8 (#212), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1398 |
| DTBench | 53.8% | 69.3% |
| Epoch Capabilities Index | 129.37 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMCA | — | 22.4% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 20.8 (#274), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 70.3% |
| LMArena Math | 1269 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 26.2 (#253), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 47.3% | 70.1% |
| LMArena Expert | 1233 | 1395 |
| MMLU-Pro | 67.8% | — |
| Confabulations | — | 12.3% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 35.3 (#76), Qwen3-30B-A3B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 43.1 (#184), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1278 | 1372 |
| LMArena Chinese | 1295 | 1434 |
| LMArena French | 1257 | 1419 |
| LMArena German | 1262 | 1379 |
| LMArena Japanese | 1252 | 1338 |
| LMArena Korean | 1220 | 1333 |
| LMArena Russian | 1288 | 1369 |
| LMArena Spanish | 1242 | 1403 |
Instruction Following Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 67.0 (#199), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1364 |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#182), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1284 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Gemini 1.5 Flash (May 2024): 48.9 (#190), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1287 | 1384 |
| LMArena Creative Writing | 1285 | 1318 |
| LMArena Multi-Turn | 1253 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 32.9 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 33.9 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Qwen3-30B-A3B share?
22 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Qwen3-30B-A3B has 32.