Model comparison
Olmo 3.1 32b Think vs Yi-1.5-34B
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 30.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. Olmo 3.1 32b Think scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3.1 32b Think leads 35.7 to 14.8.
Side by side
| Olmo 3.1 32b Think | Yi-1.5-34B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | 01.AI |
| Noometry Index | 37.9 | 30.6 |
| Released | — | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 21 |
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Category by category
Coding Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 37.7 (#189), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1291 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 25.2 (#150), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1160 |
Math Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 36.3 (#168), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1305 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 35.7 (#181), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1295 | 1144 |
| GPQA Diamond | — | 32% |
Multilingual Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 38.1 (#231), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1209 | 1121 |
| LMArena Chinese | 1242 | 1213 |
| LMArena French | 1260 | 1156 |
| LMArena German | 1262 | 1111 |
| LMArena Russian | 1193 | 1091 |
| LMArena Spanish | 1289 | 1121 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
Instruction Following Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 65.6 (#218), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1247 | 1139 |
Long Context Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 38.6 (#195), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1272 | 1143 |
Writing & Preference Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 46.2 (#220), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Olmo 3.1 32b Think | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1272 | 1173 |
| LMArena Creative Writing | 1226 | 1135 |
| LMArena Multi-Turn | 1252 | 1153 |
Frequently asked questions
Is Olmo 3.1 32b Think better than Yi-1.5-34B?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 30.6 on the Noometry Index.
Is Olmo 3.1 32b Think or Yi-1.5-34B better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.7 versus 32.4 in the Noometry coding category.
How many benchmarks do Olmo 3.1 32b Think and Yi-1.5-34B share?
15 benchmarks have published results for both models. Olmo 3.1 32b Think has 15 scored results on Noometry and Yi-1.5-34B has 21.