Model comparison
Codellama 34b Instruct vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in long context, where o3-pro leads 72.2 to 30.9.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | o3-pro | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 42.9 |
| Released | — | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 14 | 12 |
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Category by category
Coding o3-pro leads
Codellama 34b Instruct: 28.5 (#314), o3-pro: 55.5 (#24)
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning o3-pro leads
Codellama 34b Instruct: 19.6 (#255), o3-pro: 23.8 (#171)
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Codellama 34b Instruct: 31.0 (#230), o3-pro: —
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, o3-pro: 29.5 (#238)
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), o3-pro: —
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), o3-pro: —
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context o3-pro leads
Codellama 34b Instruct: 30.9 (#284), o3-pro: 72.2 (#1)
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1013 | — |
Writing & Preference o3-pro leads
Codellama 34b Instruct: 28.2 (#297), o3-pro: 57.1 (#133)
| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and o3-pro share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and o3-pro has 12.