Model comparison
Grok-2 (Dec 2024) vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 33.4 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Grok-2 (Dec 2024) 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 36.0 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 11.5% for Grok-2 (Dec 2024) and 70.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Qwen3-30B-A3B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 38.5 |
| Released | 2024-08-13 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 34 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 32.9 (#254), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 22.2% | 29.8% |
| LMArena Coding | 1288 | 1416 |
| SciCode | — | 33.3% |
| LiveBench Coding | 46.4% | — |
Agentic & Tool Use Not comparable
Grok-2 (Dec 2024): —, Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 16.4 (#294), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1398 |
| DTBench | 65.2% | 69.3% |
| Epoch Capabilities Index | 130.48 | 139.63 |
| SimpleBench | 22.7% | — |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LiveBench Reasoning | 54.8% | — |
| LiveBench Data Analysis | 54.5% | — |
| LMCA | — | 22.4% |
| LiveBench | 54.3% | — |
Math Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 19.6 (#278), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | 70.3% |
| LMArena Math | 1283 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| LiveBench Math | 54.9% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 29.8 (#225), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 53.8% | 70.1% |
| Confabulations | 20.1% | 12.3% |
| LMArena Expert | 1254 | 1395 |
Multilingual Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 43.3 (#183), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1282 | 1372 |
| LMArena Chinese | 1289 | 1434 |
| LMArena French | 1317 | 1419 |
| LMArena German | 1287 | 1379 |
| LMArena Japanese | 1244 | 1338 |
| LMArena Korean | 1237 | 1333 |
| LMArena Russian | 1286 | 1369 |
| LMArena Spanish | 1281 | 1403 |
Instruction Following Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 67.1 (#197), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1270 | 1364 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 38.7 (#186), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1276 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Grok-2 (Dec 2024): 48.8 (#192), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1305 | 1384 |
| LMArena Creative Writing | 1284 | 1318 |
| Short-Story Creative Writing | 63.6% | 75.3% |
| LMArena Multi-Turn | 1290 | 1378 |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 33.4 on the Noometry Index.
Is Grok-2 (Dec 2024) or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 32.9 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Qwen3-30B-A3B share?
24 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen3-30B-A3B has 32.