Model comparison
Gemini Advanced 0514 vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 37.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemini Advanced 0514 scores higher in 2 categories and Qwen3-30B-A3B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 33.3.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini Advanced 0514 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.7 | 38.9 |
| Released | — | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 17 | 32 |
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Category by category
Coding Too close to call
Gemini Advanced 0514: 36.6 (#205), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1255 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
Agentic & Tool Use Not comparable
Gemini Advanced 0514: —, Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Gemini Advanced 0514 leads
Gemini Advanced 0514: 24.6 (#160), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1248 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Qwen3-30B-A3B leads
Gemini Advanced 0514: 35.5 (#181), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1272 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
Knowledge Qwen3-30B-A3B leads
Gemini Advanced 0514: 33.3 (#205), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1215 | 1396 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
Multilingual Qwen3-30B-A3B leads
Gemini Advanced 0514: 42.6 (#192), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1274 | 1372 |
| LMArena Chinese | 1274 | 1433 |
| LMArena French | 1307 | 1418 |
| LMArena German | 1275 | 1380 |
| LMArena Japanese | 1242 | 1337 |
| LMArena Korean | 1232 | 1331 |
| LMArena Russian | 1283 | 1370 |
| LMArena Spanish | 1242 | 1404 |
Instruction Following Qwen3-30B-A3B leads
Gemini Advanced 0514: 66.0 (#212), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1253 | 1363 |
Long Context Gemini Advanced 0514 leads
Gemini Advanced 0514: 38.0 (#207), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1253 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Gemini Advanced 0514: 48.5 (#200), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Gemini Advanced 0514 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1279 | 1384 |
| LMArena Creative Writing | 1284 | 1317 |
| LMArena Multi-Turn | 1269 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Gemini Advanced 0514 better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 37.7 on the Noometry Index.
Is Gemini Advanced 0514 or Qwen3-30B-A3B better for coding?
They score almost the same on coding (36.6 vs 37.5); test both on your own repository before choosing.
How many benchmarks do Gemini Advanced 0514 and Qwen3-30B-A3B share?
17 benchmarks have published results for both models. Gemini Advanced 0514 has 17 scored results on Noometry and Qwen3-30B-A3B has 32.