Model comparison
Grok 4 Fast vs Yi-Large
Grok 4 Fast has enough public results to be ranked (#167); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where Yi-Large leads 36.7 to 32.5.
Side by side
| Grok 4 Fast | Yi-Large | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 39.4 | 38.1 |
| Released | 2025-09-19 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 3 |
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Category by category
Coding Yi-Large leads
Grok 4 Fast: 32.5 (#271), Yi-Large: 36.7 (#203)
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| LMArena WebDev | 1159 | — |
| WeirdML | 42.9% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1429 | — |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
Grok 4 Fast: 29.5 (#86), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Not comparable
Grok 4 Fast: 22.2 (#201), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| LMArena Hard Prompts | 1412 | — |
| DTBench | 82.7% | — |
| Epoch Capabilities Index | 144.2 | — |
| ForecastBench | 60.5 | — |
Math Not comparable
Grok 4 Fast: 38.9 (#123), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| LMArena Math | 1419 | — |
Knowledge Not comparable
Grok 4 Fast: 32.0 (#214), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| Vectara Hallucination Rate | 19.7% | — |
| LMArena Expert | 1411 | — |
| MMLU | — | 79.3% |
Multilingual Not comparable
Grok 4 Fast: 51.3 (#111), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| LMArena Non-English | 1396 | — |
| LMArena Chinese | 1457 | — |
| LMArena French | 1431 | — |
| LMArena German | 1383 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1357 | — |
| LMArena Russian | 1389 | — |
| LMArena Spanish | 1415 | — |
Instruction Following Not comparable
Grok 4 Fast: 73.2 (#121), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1387 | — |
Long Context Not comparable
Grok 4 Fast: 63.2 (#3), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| Fiction.LiveBench | 94.4% | — |
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
Grok 4 Fast: 60.0 (#102), Yi-Large: —
| Benchmark | Grok 4 Fast | Yi-Large |
|---|---|---|
| LMArena Text | 1407 | — |
| LMArena Creative Writing | 1387 | — |
| LMArena Multi-Turn | 1414 | — |
Frequently asked questions
Is Grok 4 Fast better than Yi-Large?
Grok 4 Fast has enough public results to be ranked (#167); Yi-Large does not yet, so treat this comparison as directional.
Is Grok 4 Fast or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 32.5 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Yi-Large share?
0 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Yi-Large has 3.