# GPT-4.1 vs Yi-1.5-34B

> GPT-4.1 is the stronger model overall, scoring 35.9 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-yi-1-5-34b
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Yi-1.5-34B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 14.8.
- The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 35.9 | 30.6 |
| Rank | 219 | 289 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $8 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1: 34.4 (#238)
- Yi-1.5-34B: 32.4 (#272)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1391 | 1169 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |

## Agentic & Tool Use

- GPT-4.1: 34.7 (#43)
- Yi-1.5-34B: —

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |

## Reasoning

- GPT-4.1: 11.7 (#339)
- Yi-1.5-34B: 22.5 (#191)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1160 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.78 | — |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 22.3 (#280)
- Yi-1.5-34B: 27.5 (#249)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1370 | 1182 |
| MATH Level 5 | 83% | 25.5% |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.1 (#160)
- Yi-1.5-34B: 14.8 (#295)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 66.9% | 32% |
| LMArena Expert | 1364 | 1144 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 38.2 (#67)
- Yi-1.5-34B: —

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.4 (#133)
- Yi-1.5-34B: 32.3 (#256)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1370 | 1121 |
| LMArena Chinese | 1382 | 1213 |
| LMArena French | 1382 | 1156 |
| LMArena German | 1381 | 1111 |
| LMArena Japanese | 1319 | 1021 |
| LMArena Korean | 1339 | 1005 |
| LMArena Russian | 1377 | 1091 |
| LMArena Spanish | 1376 | 1121 |

## Instruction Following

- GPT-4.1: 71.3 (#153)
- Yi-1.5-34B: 59.2 (#257)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1139 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#163)
- Yi-1.5-34B: 34.6 (#248)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1385 | 1143 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.6 (#125)
- Yi-1.5-34B: 37.4 (#257)

| Benchmark | GPT-4.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1383 | 1173 |
| LMArena Creative Writing | 1363 | 1135 |
| LMArena Multi-Turn | 1398 | 1153 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |

## FAQ

### Is GPT-4.1 better than Yi-1.5-34B?

GPT-4.1 is the stronger model overall, scoring 35.9 to 30.6 on the Noometry Index.

### Is GPT-4.1 or Yi-1.5-34B better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 32.4 in the Noometry coding category.

### How many benchmarks do GPT-4.1 and Yi-1.5-34B share?

19 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Yi-1.5-34B has 21.