Model comparison
GPT-3.5-turbo vs Yi-Large
GPT-3.5-turbo has enough public results to be ranked (#350); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 23.9.
Side by side
| GPT-3.5-turbo | Yi-Large | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 23.2 | 38.1 |
| Released | 2023-03-01 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 3 |
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Category by category
Coding Yi-Large leads
GPT-3.5-turbo: 23.9 (#331), Yi-Large: 36.7 (#203)
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 39.1% | 37.7% |
| BigCodeBench Complete | 50.6% | 47.2% |
| WeirdML | 3.5% | — |
| LMArena Coding | 1136 | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Not comparable
GPT-3.5-turbo: 13.8 (#332), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1108 | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.55 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Not comparable
GPT-3.5-turbo: 6.3 (#327), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Not comparable
GPT-3.5-turbo: 10.0 (#303), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| MMLU | 71.4% | 79.3% |
| GPQA Diamond | 28% | — |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Not comparable
GPT-3.5-turbo: 31.5 (#258), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| LMArena Non-English | 1108 | — |
| LMArena Chinese | 1075 | — |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1121 | — |
Instruction Following Not comparable
GPT-3.5-turbo: 57.9 (#262), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1119 | — |
Long Context Not comparable
GPT-3.5-turbo: 34.0 (#254), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1121 | — |
Writing & Preference Not comparable
GPT-3.5-turbo: 25.3 (#305), Yi-Large: —
| Benchmark | GPT-3.5-turbo | Yi-Large |
|---|---|---|
| LMArena Text | 1125 | — |
| LMArena Creative Writing | 1092 | — |
| EQ-Bench Creative Writing | 451 | — |
| LMArena Multi-Turn | 1117 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Yi-Large?
GPT-3.5-turbo has enough public results to be ranked (#350); Yi-Large does not yet, so treat this comparison as directional.
Is GPT-3.5-turbo or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Yi-Large share?
3 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Yi-Large has 3.