Model comparison
Codellama 34b Instruct vs Olmo 3.1 32b Think
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Olmo 3.1 32b Think in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3.1 32b Think leads 46.2 to 28.2.
Side by side
| Codellama 34b Instruct | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 30.8 | 37.9 |
| Released | — | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 15 |
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Category by category
Coding Olmo 3.1 32b Think leads
Codellama 34b Instruct: 28.5 (#314), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1046 | 1291 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Olmo 3.1 32b Think leads
Codellama 34b Instruct: 19.6 (#255), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1272 |
Math Olmo 3.1 32b Think leads
Codellama 34b Instruct: 31.0 (#230), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1056 | 1305 |
Knowledge Not comparable
Codellama 34b Instruct: —, Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | — | 1295 |
Multilingual Olmo 3.1 32b Think leads
Codellama 34b Instruct: 25.8 (#284), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1011 | 1209 |
| LMArena Chinese | 976 | 1242 |
| LMArena French | — | 1260 |
| LMArena German | — | 1262 |
| LMArena Russian | — | 1193 |
| LMArena Spanish | — | 1289 |
Instruction Following Olmo 3.1 32b Think leads
Codellama 34b Instruct: 52.2 (#291), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1028 | 1247 |
Long Context Olmo 3.1 32b Think leads
Codellama 34b Instruct: 30.9 (#284), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1013 | 1272 |
Writing & Preference Olmo 3.1 32b Think leads
Codellama 34b Instruct: 28.2 (#297), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Codellama 34b Instruct | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1066 | 1272 |
| LMArena Creative Writing | 1032 | 1226 |
| LMArena Multi-Turn | 1015 | 1252 |
Frequently asked questions
Is Codellama 34b Instruct better than Olmo 3.1 32b Think?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Olmo 3.1 32b Think better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.7 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Olmo 3.1 32b Think share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Olmo 3.1 32b Think has 15.