Model comparison
Codellama 34b Instruct vs Llama 3.2 90B
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 27.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Codellama 34b Instruct leads 31.0 to 11.1.
Side by side
| Codellama 34b Instruct | Llama 3.2 90B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.8 | 27.5 |
| Released | — | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 9 |
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Category by category
Coding Not comparable
Codellama 34b Instruct: 28.5 (#314), Llama 3.2 90B: —
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning Llama 3.2 90B leads
Codellama 34b Instruct: 19.6 (#255), Llama 3.2 90B: 21.7 (#217)
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1032 | — |
| Epoch Capabilities Index | — | 125.5 |
Math Codellama 34b Instruct leads
Codellama 34b Instruct: 31.0 (#230), Llama 3.2 90B: 11.1 (#308)
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| LMArena Math | 1056 | — |
| MATH Level 5 | — | 39.4% |
Knowledge Not comparable
Codellama 34b Instruct: —, Llama 3.2 90B: 21.7 (#274)
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| MMLU | — | 80.3% |
Multimodal Not comparable
Codellama 34b Instruct: —, Llama 3.2 90B: 25.4 (#124)
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), Llama 3.2 90B: —
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), Llama 3.2 90B: —
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), Llama 3.2 90B: —
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.2 (#297), Llama 3.2 90B: —
| Benchmark | Codellama 34b Instruct | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Llama 3.2 90B?
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 27.5 on the Noometry Index.
How many benchmarks do Codellama 34b Instruct and Llama 3.2 90B share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Llama 3.2 90B has 9.