Model comparison
Grok 4 Fast vs Qwen3-1.7B
Grok 4 Fast is the stronger model overall, scoring 39.0 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Grok 4 Fast leads 36.1 to 15.4.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Qwen3-1.7B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.0 | 26.2 |
| Released | 2025-09-19 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 4 |
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Category by category
Coding Not comparable
Grok 4 Fast: 32.3 (#264), Qwen3-1.7B: —
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| LMArena WebDev | 1160 | — |
| WeirdML | 42.9% | — |
| LMArena Coding | 1429 | — |
Agentic & Tool Use Grok 4 Fast leads
Grok 4 Fast: 29.3 (#80), Qwen3-1.7B: 24.5 (#108)
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.5 (#179), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1413 | — |
| DTBench | 82.7% | — |
| Epoch Capabilities Index | 144.21 | — |
| ForecastBench | 60.5 | — |
Math Grok 4 Fast leads
Grok 4 Fast: 36.1 (#126), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1419 | — |
Knowledge Grok 4 Fast leads
Grok 4 Fast: 31.5 (#211), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| Vectara Hallucination Rate | 19.7% | — |
| LMArena Expert | 1411 | — |
Multilingual Not comparable
Grok 4 Fast: 51.5 (#106), Qwen3-1.7B: —
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1397 | — |
| LMArena Chinese | 1458 | — |
| LMArena French | 1433 | — |
| LMArena German | 1383 | — |
| LMArena Japanese | 1358 | — |
| LMArena Korean | 1359 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1414 | — |
Instruction Following Not comparable
Grok 4 Fast: 73.4 (#116), Qwen3-1.7B: —
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1388 | — |
Long Context Not comparable
Grok 4 Fast: 63.2 (#3), Qwen3-1.7B: —
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| Fiction.LiveBench | 94.4% | — |
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
Grok 4 Fast: 60.2 (#96), Qwen3-1.7B: —
| Benchmark | Grok 4 Fast | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1407 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1414 | — |
Frequently asked questions
Is Grok 4 Fast better than Qwen3-1.7B?
Grok 4 Fast is the stronger model overall, scoring 39.0 to 26.2 on the Noometry Index.
How many benchmarks do Grok 4 Fast and Qwen3-1.7B share?
0 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Qwen3-1.7B has 4.