Model comparison
Gemini 1.0 Pro vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 27.3 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 1 category and Qwen3-30B-A3B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-30B-A3B leads 37.4 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemini 1.0 Pro and 70.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 27.3 | 38.9 |
| Released | 2023-12-13 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 24 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Gemini 1.0 Pro: 32.2 (#275), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1108 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Agentic & Tool Use Not comparable
Gemini 1.0 Pro: —, Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Gemini 1.0 Pro: 17.1 (#296), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1398 |
| DTBench | 45.9% | 69.3% |
| Epoch Capabilities Index | 117.04 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMCA | — | 22.4% |
Math Qwen3-30B-A3B leads
Gemini 1.0 Pro: 9.3 (#321), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 70.3% |
| LMArena Math | 1132 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| MATH Level 5 | 11.2% | — |
Knowledge Qwen3-30B-A3B leads
Gemini 1.0 Pro: 15.6 (#291), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 34% | 70.1% |
| LMArena Expert | 1059 | 1396 |
| Confabulations | — | 12.3% |
| MMLU | 70% | — |
Multilingual Qwen3-30B-A3B leads
Gemini 1.0 Pro: 33.4 (#252), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1138 | 1372 |
| LMArena Chinese | 1124 | 1433 |
| LMArena French | 1145 | 1418 |
| LMArena German | 1125 | 1380 |
| LMArena Japanese | 1023 | 1337 |
| LMArena Russian | 1186 | 1370 |
| LMArena Spanish | 1119 | 1404 |
| LMArena Korean | — | 1331 |
Instruction Following Qwen3-30B-A3B leads
Gemini 1.0 Pro: 57.6 (#267), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1114 | 1363 |
Long Context Gemini 1.0 Pro leads
Gemini 1.0 Pro: 34.3 (#249), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1132 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Gemini 1.0 Pro: 36.0 (#264), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Gemini 1.0 Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1149 | 1384 |
| LMArena Creative Writing | 1131 | 1317 |
| LMArena Multi-Turn | 1139 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Gemini 1.0 Pro better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and Qwen3-30B-A3B share?
20 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Qwen3-30B-A3B has 32.