Model comparison
GPT-4.1 nano vs Yi-Large
GPT-4.1 nano has enough public results to be ranked (#322); 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 36.1 to 23.8.
Side by side
| GPT-4.1 nano | Yi-Large | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 27.7 | 37.6 |
| Released | 2025-04-14 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 3 |
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Category by category
Coding Yi-Large leads
GPT-4.1 nano: 23.8 (#325), Yi-Large: 36.1 (#201)
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1306 | — |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.3 (#98), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Not comparable
GPT-4.1 nano: 8.6 (#344), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1286 | — |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 129.62 | — |
Math Not comparable
GPT-4.1 nano: 25.5 (#246), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| LMArena Math | 1274 | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Not comparable
GPT-4.1 nano: 21.8 (#268), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1272 | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
GPT-4.1 nano: 28.6 (#108), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual Not comparable
GPT-4.1 nano: 41.8 (#200), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| LMArena Non-English | 1260 | — |
| LMArena Chinese | 1270 | — |
| LMArena German | 1288 | — |
| LMArena Japanese | 1199 | — |
| LMArena Russian | 1261 | — |
Instruction Following Not comparable
GPT-4.1 nano: 68.0 (#188), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| IFEval | 84.3% | — |
| LMArena Instruction Following | 1267 | — |
Long Context Not comparable
GPT-4.1 nano: 23.7 (#291), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| Fiction.LiveBench | 25% | — |
| LMArena Longer Query | 1283 | — |
Writing & Preference Not comparable
GPT-4.1 nano: 40.7 (#238), Yi-Large: —
| Benchmark | GPT-4.1 nano | Yi-Large |
|---|---|---|
| LMArena Text | 1285 | — |
| LMArena Creative Writing | 1260 | — |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
| LMArena Multi-Turn | 1277 | — |
Frequently asked questions
Is GPT-4.1 nano better than Yi-Large?
GPT-4.1 nano has enough public results to be ranked (#322); Yi-Large does not yet, so treat this comparison as directional.
Is GPT-4.1 nano or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.1 versus 23.8 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Yi-Large share?
0 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Yi-Large has 3.