Model comparison
o1-mini vs Yi-1.5-34B
o1-mini is the stronger model overall, scoring 34.0 to 30.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. o1-mini 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 knowledge, where o1-mini leads 34.9 to 14.8.
- The biggest single-benchmark swing is MATH Level 5: 89.2% for o1-mini and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| o1-mini | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 34.0 | 30.6 |
| Released | 2024-09-12 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 39 | 21 |
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Category by category
Coding o1-mini leads
o1-mini: 35.5 (#224), Yi-1.5-34B: 32.4 (#272)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1362 | 1169 |
| Aider Polyglot | 32.9% | — |
| WeirdML | 36.3% | — |
| BigCodeBench Instruct | — | 33.9% |
| LiveBench Coding | 48% | — |
| BigCodeBench Complete | — | 43.8% |
| HumanEval+ | 89% | — |
| MBPP+ | 78.8% | — |
Agentic & Tool Use Not comparable
o1-mini: 24.6 (#118), Yi-1.5-34B: —
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| Cybench | 10% | — |
Reasoning Yi-1.5-34B leads
o1-mini: 8.8 (#346), Yi-1.5-34B: 22.5 (#191)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1160 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 18.1% | — |
| ARC-AGI-1 | 14% | — |
| LiveBench Reasoning | 72.3% | — |
| LiveBench Data Analysis | 57.9% | — |
| Epoch Capabilities Index | 135.82 | — |
| LiveBench | 57.8% | — |
Math o1-mini leads
o1-mini: 35.4 (#186), Yi-1.5-34B: 27.5 (#249)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1358 | 1182 |
| MATH Level 5 | 89.2% | 25.5% |
| OTIS Mock AIME 2024-2025 | 46.9% | — |
| LiveBench Math | 62% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge o1-mini leads
o1-mini: 34.9 (#192), Yi-1.5-34B: 14.8 (#295)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 62.4% | 32% |
| LMArena Expert | 1316 | 1144 |
| Confabulations | 18.6% | — |
Multilingual o1-mini leads
o1-mini: 43.6 (#182), Yi-1.5-34B: 32.3 (#256)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1289 | 1121 |
| LMArena Chinese | 1314 | 1213 |
| LMArena French | 1293 | 1156 |
| LMArena German | 1278 | 1111 |
| LMArena Japanese | 1245 | 1021 |
| LMArena Korean | 1223 | 1005 |
| LMArena Russian | 1283 | 1091 |
| LMArena Spanish | 1303 | 1121 |
Instruction Following o1-mini leads
o1-mini: 66.7 (#206), Yi-1.5-34B: 59.2 (#257)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1304 | 1139 |
| LiveBench Instruction Following | 65.4% | — |
Long Context o1-mini leads
o1-mini: 40.1 (#161), Yi-1.5-34B: 34.6 (#248)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1320 | 1143 |
Writing & Preference o1-mini leads
o1-mini: 48.4 (#202), Yi-1.5-34B: 37.4 (#257)
| Benchmark | o1-mini | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1317 | 1173 |
| LMArena Creative Writing | 1244 | 1135 |
| LMArena Multi-Turn | 1314 | 1153 |
| Short-Story Creative Writing | 64.9% | — |
| LiveBench Language | 40.9% | — |
Frequently asked questions
Is o1-mini better than Yi-1.5-34B?
o1-mini is the stronger model overall, scoring 34.0 to 30.6 on the Noometry Index.
Is o1-mini or Yi-1.5-34B better for coding?
o1-mini scores higher on coding benchmarks: 35.5 versus 32.4 in the Noometry coding category.
How many benchmarks do o1-mini and Yi-1.5-34B share?
19 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Yi-1.5-34B has 21.