Model comparison
Codellama 34b Instruct vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 19.6.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | GPT-5.5 Pro | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 64.3 |
| Released | — | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $30 |
| Output $ / M tokens | — | $180 |
| Results tracked | 14 | 14 |
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Category by category
Coding Not comparable
Codellama 34b Instruct: 28.5 (#314), GPT-5.5 Pro: —
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning GPT-5.5 Pro leads
Codellama 34b Instruct: 19.6 (#255), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.07 |
Math GPT-5.5 Pro leads
Codellama 34b Instruct: 31.0 (#230), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| LMArena Math | 1056 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge Not comparable
Codellama 34b Instruct: —, GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), GPT-5.5 Pro: —
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), GPT-5.5 Pro: —
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), GPT-5.5 Pro: —
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.2 (#297), GPT-5.5 Pro: —
| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.8 on the Noometry Index.
How many benchmarks do Codellama 34b Instruct and GPT-5.5 Pro share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.5 Pro has 14.