Model comparison
Olmo 3.1 32b Think vs Yi-34B
Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 27.4 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-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3.1 32b Think leads 35.0 to 7.5.
Side by side
| Olmo 3.1 32b Think | Yi-34B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | 01.AI |
| Noometry Index | 37.3 | 27.4 |
| Released | — | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 23 |
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Category by category
Coding Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 37.1 (#186), Yi-34B: 31.8 (#269)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Coding | 1292 | 1112 |
Reasoning Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 24.1 (#151), Yi-34B: 20.3 (#222)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.28 |
Math Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 33.6 (#170), Yi-34B: 19.8 (#277)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Math | 1305 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 35.0 (#178), Yi-34B: 7.5 (#304)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Expert | 1294 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multilingual Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 38.3 (#226), Yi-34B: 29.9 (#259)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Non-English | 1210 | 1079 |
| LMArena Chinese | 1241 | 1175 |
| LMArena French | 1262 | 1080 |
| LMArena German | 1260 | 1042 |
| LMArena Russian | 1193 | 1050 |
| LMArena Spanish | 1288 | 1070 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 65.8 (#213), Yi-34B: 56.4 (#269)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1246 | 1091 |
Long Context Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 38.6 (#190), Yi-34B: 33.2 (#259)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1272 | 1094 |
Writing & Preference Olmo 3.1 32b Think leads
Olmo 3.1 32b Think: 46.4 (#215), Yi-34B: 34.3 (#268)
| Benchmark | Olmo 3.1 32b Think | Yi-34B |
|---|---|---|
| LMArena Text | 1271 | 1129 |
| LMArena Creative Writing | 1226 | 1108 |
| LMArena Multi-Turn | 1252 | 1113 |
Frequently asked questions
Is Olmo 3.1 32b Think better than Yi-34B?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 27.4 on the Noometry Index.
Is Olmo 3.1 32b Think or Yi-34B better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.1 versus 31.8 in the Noometry coding category.
How many benchmarks do Olmo 3.1 32b Think and Yi-34B share?
15 benchmarks have published results for both models. Olmo 3.1 32b Think has 15 scored results on Noometry and Yi-34B has 23.