Model comparison
GPT-4.5 vs Yi-1.5-34B
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Yi-1.5-34B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.5 leads 52.5 to 32.3.
- The biggest single-benchmark swing is MATH Level 5: 78.6% for GPT-4.5 and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 37.2 | 30.6 |
| Released | 2025-02-27 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 21 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Yi-1.5-34B: 32.4 (#272)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1396 | 1169 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| BigCodeBench Instruct | — | 33.9% |
| LiveBench Coding | 75.2% | — |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Yi-1.5-34B: —
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Yi-1.5-34B leads
GPT-4.5: 13.9 (#330), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1160 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1412 | 1182 |
| MATH Level 5 | 78.6% | 25.5% |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 68.7% | 32% |
| LMArena Expert | 1394 | 1144 |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Yi-1.5-34B: —
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1413 | 1121 |
| LMArena Chinese | 1421 | 1213 |
| LMArena French | 1418 | 1156 |
| LMArena German | 1457 | 1111 |
| LMArena Japanese | 1416 | 1021 |
| LMArena Korean | 1392 | 1005 |
| LMArena Russian | 1419 | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1139 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1406 | 1143 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GPT-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1417 | 1173 |
| LMArena Creative Writing | 1394 | 1135 |
| LMArena Multi-Turn | 1444 | 1153 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Yi-1.5-34B?
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.6 on the Noometry Index.
Is GPT-4.5 or Yi-1.5-34B better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 32.4 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Yi-1.5-34B share?
18 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Yi-1.5-34B has 21.