Model comparison
Codellama 34b Instruct vs o3
o3 is the stronger model overall, scoring 47.5 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and o3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3 leads 63.5 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | o3 | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 47.5 |
| Released | — | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 14 | 63 |
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Category by category
Coding o3 leads
Codellama 34b Instruct: 28.5 (#314), o3: 46.8 (#64)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Coding | 1046 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, o3: 34.5 (#44)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Codellama 34b Instruct: 19.6 (#255), o3: 32.0 (#78)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1402 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.86 |
| ForecastBench | — | 62.5 |
Math o3 leads
Codellama 34b Instruct: 31.0 (#230), o3: 50.2 (#58)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Math | 1056 | 1426 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
Codellama 34b Instruct: —, o3: 54.6 (#52)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |
Multimodal Not comparable
Codellama 34b Instruct: —, o3: 41.4 (#36)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual o3 leads
Codellama 34b Instruct: 25.8 (#284), o3: 51.7 (#105)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Non-English | 1011 | 1401 |
| LMArena Chinese | 976 | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |
Instruction Following o3 leads
Codellama 34b Instruct: 52.2 (#291), o3: 72.8 (#127)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1368 |
| IFEval | — | 86.9% |
Long Context o3 leads
Codellama 34b Instruct: 30.9 (#284), o3: 53.3 (#6)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Longer Query | 1013 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
Writing & Preference o3 leads
Codellama 34b Instruct: 28.2 (#297), o3: 63.5 (#64)
| Benchmark | Codellama 34b Instruct | o3 |
|---|---|---|
| LMArena Text | 1066 | 1410 |
| LMArena Creative Writing | 1032 | 1359 |
| LMArena Multi-Turn | 1015 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
Frequently asked questions
Is Codellama 34b Instruct better than o3?
o3 is the stronger model overall, scoring 47.5 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or o3 better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and o3 share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and o3 has 63.