Model comparison
Grok 4.1 Fast vs Qwen3-Coder 480B-A35B Instruct
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 38.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Grok 4.1 Fast scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 25.5.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 128K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 41.4 | 38.1 |
| Released | 2025-06-27 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $0.20 | $1.50 |
| Output $ / M tokens | $0.50 | $7.50 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Grok 4.1 Fast: 34.1 (#245), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1242 | 1275 |
| LMArena Coding | 1411 | 1412 |
| ALE-Bench | 394.93 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Grok 4.1 Fast leads
Grok 4.1 Fast: 36.3 (#39), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 69.6% | — |
| τ²-bench Banking | 13.1% | — |
| LMArena Search | 1171 | — |
| Vending-Bench 2 | 1,107 | — |
Reasoning Grok 4.1 Fast leads
Grok 4.1 Fast: 43.4 (#49), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1407 | 1372 |
| SimpleBench | 56% | — |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 87.4% | — |
| DTBench | 87.7% | — |
| ForecastBench | 61 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Grok 4.1 Fast: 31.9 (#221), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1408 | 1365 |
| MathArena Final-Answer Competitions | 60.9% | — |
| ProofBench | 4% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Grok 4.1 Fast: 33.1 (#207), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1399 | 1338 |
| Vectara Hallucination Rate | 17.8% | — |
Multimodal Not comparable
Grok 4.1 Fast: 37.0 (#76), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1201 | — |
Multilingual Grok 4.1 Fast leads
Grok 4.1 Fast: 51.0 (#114), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1391 | 1346 |
| LMArena Chinese | 1441 | 1357 |
| LMArena French | 1415 | 1398 |
| LMArena German | 1404 | 1325 |
| LMArena Japanese | 1349 | 1310 |
| LMArena Korean | 1361 | 1305 |
| LMArena Russian | 1387 | 1366 |
| LMArena Spanish | 1413 | 1360 |
Instruction Following Grok 4.1 Fast leads
Grok 4.1 Fast: 72.7 (#133), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1376 | 1355 |
Long Context Too close to call
Grok 4.1 Fast: 42.4 (#126), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1390 | 1378 |
Writing & Preference Grok 4.1 Fast leads
Grok 4.1 Fast: 57.2 (#131), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Grok 4.1 Fast | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1408 | 1357 |
| LMArena Creative Writing | 1394 | 1333 |
| LMArena Multi-Turn | 1389 | 1365 |
| EQ-Bench Creative Writing | 1327 | — |
Frequently asked questions
Is Grok 4.1 Fast better than Qwen3-Coder 480B-A35B Instruct?
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 38.1 on the Noometry Index.
Which is cheaper, Grok 4.1 Fast or Qwen3-Coder 480B-A35B Instruct?
Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Grok 4.1 Fast or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 128K.
How many benchmarks do Grok 4.1 Fast and Qwen3-Coder 480B-A35B Instruct share?
19 benchmarks have published results for both models. Grok 4.1 Fast has 32 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.