Model comparison
OLMo 2 Furious 13B vs Yi-34B
OLMo 2 Furious 13B is the stronger model overall, scoring 29.7 to 27.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in knowledge, where OLMo 2 Furious 13B leads 18.3 to 7.5.
Side by side
| OLMo 2 Furious 13B | Yi-34B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | 01.AI |
| Noometry Index | 29.7 | 27.8 |
| Released | 2024-12-31 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 12 | 23 |
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Category by category
Coding Yi-34B leads
OLMo 2 Furious 13B: 28.6 (#313), Yi-34B: 32.3 (#274)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LiveBench Coding | 10.4% | — |
| LMArena Coding | — | 1112 |
Reasoning Yi-34B leads
OLMo 2 Furious 13B: 15.5 (#314), Yi-34B: 21.2 (#226)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LiveBench Reasoning | 16.3% | — |
| LMArena Hard Prompts | — | 1104 |
| LiveBench Data Analysis | 20.6% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
| LiveBench | 22.1% | — |
Math OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 23.1 (#273), Yi-34B: 21.6 (#282)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| Omni-MATH | 15.6% | — |
| LiveBench Math | 13.6% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 18.3 (#283), Yi-34B: 7.5 (#309)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| GPQA Diamond | — | 14.7% |
| MMLU-Pro | 31% | — |
| GPQA (HELM) | 31.6% | — |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
OLMo 2 Furious 13B: —, Yi-34B: 29.7 (#264)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 60.9 (#248), Yi-34B: 56.2 (#274)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LiveBench Instruction Following | 60.6% | — |
| IFEval | 73% | — |
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
OLMo 2 Furious 13B: —, Yi-34B: 33.2 (#264)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference OLMo 2 Furious 13B leads
OLMo 2 Furious 13B: 42.9 (#230), Yi-34B: 34.1 (#273)
| Benchmark | OLMo 2 Furious 13B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| WildBench | 68.9% | — |
| LMArena Multi-Turn | — | 1113 |
| LiveBench Language | 11.2% | — |
Frequently asked questions
Is OLMo 2 Furious 13B better than Yi-34B?
OLMo 2 Furious 13B is the stronger model overall, scoring 29.7 to 27.8 on the Noometry Index.
Is OLMo 2 Furious 13B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 28.6 in the Noometry coding category.
How many benchmarks do OLMo 2 Furious 13B and Yi-34B share?
0 benchmarks have published results for both models. OLMo 2 Furious 13B has 12 scored results on Noometry and Yi-34B has 23.