# GPT-4 Turbo vs Yi-34B

> GPT-4 Turbo is the stronger model overall, scoring 30.5 to 27.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-turbo-vs-yi-34b
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GPT-4 Turbo scores higher in 6 categories and Yi-34B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4 Turbo leads 24.3 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 46.7% for GPT-4 Turbo and 5.1% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 Turbo | Yi-34B |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 30.5 | 27.8 |
| Rank | 292 | 329 |
| Context | 128K | — |
| Input $/M | $10 | — |
| Output $/M | $30 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4 Turbo: 33.8 (#249)
- Yi-34B: 32.3 (#274)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Coding | 1268 | 1112 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |

## Agentic & Tool Use

- GPT-4 Turbo: —
- Yi-34B: —

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| METR Time Horizons | 36.7% | — |

## Reasoning

- GPT-4 Turbo: 15.3 (#317)
- Yi-34B: 21.2 (#226)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1104 |
| Epoch Capabilities Index | 127.25 | 117.39 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 59.4 | — |

## Math

- GPT-4 Turbo: 9.0 (#322)
- Yi-34B: 21.6 (#282)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Math | 1272 | 1114 |
| MATH Level 5 | 46.7% | 5.1% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| GSM8K | — | 76% |

## Knowledge

- GPT-4 Turbo: 24.3 (#268)
- Yi-34B: 7.5 (#309)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| GPQA Diamond | 46.6% | 14.7% |
| LMArena Expert | 1223 | 1061 |
| MMLU | 81.3% | 76.3% |
| Confabulations | 28.4% | — |

## Multimodal

- GPT-4 Turbo: 30.6 (#110)
- Yi-34B: —

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Vision | 1090 | — |

## Multilingual

- GPT-4 Turbo: 40.5 (#216)
- Yi-34B: 29.7 (#264)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Non-English | 1245 | 1079 |
| LMArena Chinese | 1242 | 1176 |
| LMArena French | 1276 | 1081 |
| LMArena German | 1259 | 1042 |
| LMArena Japanese | 1194 | 993 |
| LMArena Korean | 1187 | 959 |
| LMArena Russian | 1259 | 1050 |
| LMArena Spanish | 1260 | 1070 |

## Instruction Following

- GPT-4 Turbo: 65.8 (#216)
- Yi-34B: 56.2 (#274)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1249 | 1091 |

## Long Context

- GPT-4 Turbo: 38.0 (#206)
- Yi-34B: 33.2 (#264)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1254 | 1094 |

## Writing & Preference

- GPT-4 Turbo: 47.7 (#206)
- Yi-34B: 34.1 (#273)

| Benchmark | GPT-4 Turbo | Yi-34B |
|---|---|---|
| LMArena Text | 1272 | 1129 |
| LMArena Creative Writing | 1269 | 1108 |
| LMArena Multi-Turn | 1267 | 1113 |

## FAQ

### Is GPT-4 Turbo better than Yi-34B?

GPT-4 Turbo is the stronger model overall, scoring 30.5 to 27.8 on the Noometry Index.

### Is GPT-4 Turbo or Yi-34B better for coding?

GPT-4 Turbo scores higher on coding benchmarks: 33.8 versus 32.3 in the Noometry coding category.

### How many benchmarks do GPT-4 Turbo and Yi-34B share?

21 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Yi-34B has 23.