Model comparison
OLMo 2 Furious 13B vs Yi-1.5-34B
OLMo 2 Furious 13B and Yi-1.5-34B score almost the same on the Noometry Index (29.7 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in reasoning, where Yi-1.5-34B leads 22.5 to 15.5.
Side by side
| OLMo 2 Furious 13B | Yi-1.5-34B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | 01.AI |
| Noometry Index | 29.7 | 30.6 |
| Released | 2024-12-31 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 12 | 21 |
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Category by category
Coding Yi-1.5-34B leads
OLMo 2 Furious 13B: 28.6 (#313), Yi-1.5-34B: 32.4 (#272)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | — | 33.9% |
| LiveBench Coding | 10.4% | — |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
Reasoning Yi-1.5-34B leads
OLMo 2 Furious 13B: 15.5 (#314), Yi-1.5-34B: 22.5 (#191)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| LiveBench Reasoning | 16.3% | — |
| LMArena Hard Prompts | — | 1160 |
| LiveBench Data Analysis | 20.6% | — |
| LiveBench | 22.1% | — |
Math Yi-1.5-34B leads
OLMo 2 Furious 13B: 23.1 (#273), Yi-1.5-34B: 27.5 (#249)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| Omni-MATH | 15.6% | — |
| LiveBench Math | 13.6% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 18.3 (#283), Yi-1.5-34B: 14.8 (#295)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| MMLU-Pro | 31% | — |
| GPQA (HELM) | 31.6% | — |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
OLMo 2 Furious 13B: —, Yi-1.5-34B: 32.3 (#256)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 60.9 (#248), Yi-1.5-34B: 59.2 (#257)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| LiveBench Instruction Following | 60.6% | — |
| IFEval | 73% | — |
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
OLMo 2 Furious 13B: —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 42.9 (#230), Yi-1.5-34B: 37.4 (#257)
| Benchmark | OLMo 2 Furious 13B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| WildBench | 68.9% | — |
| LMArena Multi-Turn | — | 1153 |
| LiveBench Language | 11.2% | — |
Frequently asked questions
Is OLMo 2 Furious 13B better than Yi-1.5-34B?
OLMo 2 Furious 13B and Yi-1.5-34B score almost the same on the Noometry Index (29.7 vs 30.6), so choose on price, context window or the category you care about most.
Is OLMo 2 Furious 13B or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 28.6 in the Noometry coding category.
How many benchmarks do OLMo 2 Furious 13B and Yi-1.5-34B share?
0 benchmarks have published results for both models. OLMo 2 Furious 13B has 12 scored results on Noometry and Yi-1.5-34B has 21.