Model comparison
Grok-2 (Dec 2024) vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 37.6 to 20.8.
- The biggest single-benchmark swing is WeirdML: 22.2% for Grok-2 (Dec 2024) and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 38.1 |
| Released | 2024-08-13 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 34 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 33.3 (#258), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 22.2% | 41.2% |
| LMArena Coding | 1287 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| LiveBench Coding | 46.4% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Grok-2 (Dec 2024): —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 16.9 (#299), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1372 |
| SimpleBench | 22.7% | — |
| Kagi LLM Benchmark | — | 49.5% |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 20.8 (#284), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1283 | 1365 |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 29.8 (#233), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1254 | 1338 |
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 43.1 (#188), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1282 | 1346 |
| LMArena Chinese | 1289 | 1357 |
| LMArena French | 1318 | 1398 |
| LMArena German | 1287 | 1325 |
| LMArena Japanese | 1244 | 1310 |
| LMArena Korean | 1237 | 1305 |
| LMArena Russian | 1286 | 1366 |
| LMArena Spanish | 1281 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 66.9 (#202), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1270 | 1355 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 38.8 (#190), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1276 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Grok-2 (Dec 2024): 48.6 (#198), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Grok-2 (Dec 2024) | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1305 | 1357 |
| LMArena Creative Writing | 1284 | 1333 |
| LMArena Multi-Turn | 1290 | 1365 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.7 on the Noometry Index.
Is Grok-2 (Dec 2024) or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Qwen3-Coder 480B-A35B Instruct share?
18 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.