Model comparison
Olmo 2 0325 32b Instruct vs Qwen1.5-110B
Qwen1.5-110B is the stronger model overall, scoring 34.2 to 32.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Olmo 2 0325 32b Instruct scores higher in 6 categories and Qwen1.5-110B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-110B leads 31.2 to 19.5.
Side by side
| Olmo 2 0325 32b Instruct | Qwen1.5-110B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 32.7 | 34.2 |
| Released | — | 2024-04-25 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 16 | 20 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 35.2 (#227), Qwen1.5-110B: 33.0 (#264)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1210 | 1184 |
| BigCodeBench Instruct | — | 35% |
| BigCodeBench Complete | — | 44.4% |
Reasoning Too close to call
Olmo 2 0325 32b Instruct: 23.6 (#175), Qwen1.5-110B: 22.7 (#189)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1208 | 1168 |
| ForecastBench | — | 57.7 |
Math Qwen1.5-110B leads
Olmo 2 0325 32b Instruct: 26.8 (#255), Qwen1.5-110B: 33.7 (#201)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1208 | 1185 |
| Omni-MATH | 16.1% | — |
Knowledge Qwen1.5-110B leads
Olmo 2 0325 32b Instruct: 19.5 (#279), Qwen1.5-110B: 31.2 (#219)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| MMLU-Pro | 41.4% | — |
| GPQA (HELM) | 28.7% | — |
| LMArena Expert | — | 1144 |
Multilingual Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 34.8 (#248), Qwen1.5-110B: 33.6 (#250)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1160 | 1142 |
| LMArena Chinese | 1192 | 1206 |
| LMArena Russian | 1187 | 1118 |
| LMArena French | — | 1151 |
| LMArena German | — | 1123 |
| LMArena Japanese | — | 1074 |
| LMArena Korean | — | 1044 |
| LMArena Spanish | — | 1142 |
Instruction Following Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 61.5 (#244), Qwen1.5-110B: 60.3 (#252)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1186 | 1158 |
| IFEval | 78% | — |
Long Context Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 36.2 (#234), Qwen1.5-110B: 35.1 (#242)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1194 | 1157 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Olmo 2 0325 32b Instruct: 42.1 (#236), Qwen1.5-110B: 38.0 (#255)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1218 | 1175 |
| LMArena Creative Writing | 1199 | 1148 |
| LMArena Multi-Turn | 1221 | 1160 |
| WildBench | 73.4% | — |
Frequently asked questions
Is Olmo 2 0325 32b Instruct better than Qwen1.5-110B?
Qwen1.5-110B is the stronger model overall, scoring 34.2 to 32.7 on the Noometry Index.
Is Olmo 2 0325 32b Instruct or Qwen1.5-110B better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 33.0 in the Noometry coding category.
How many benchmarks do Olmo 2 0325 32b Instruct and Qwen1.5-110B share?
11 benchmarks have published results for both models. Olmo 2 0325 32b Instruct has 16 scored results on Noometry and Qwen1.5-110B has 20.