Model comparison
Codellama 34b Instruct vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 45.1 to 30.2 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 GPT-6 Luna in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 28.4.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | GPT-6 Luna | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.2 | 45.1 |
| Released | — | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 14 | 18 |
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Category by category
Coding GPT-6 Luna leads
Codellama 34b Instruct: 28.0 (#310), GPT-6 Luna: 54.7 (#24)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1046 | 1448 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1583 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning GPT-6 Luna leads
Codellama 34b Instruct: 18.8 (#250), GPT-6 Luna: 31.7 (#68)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1415 |
| NYT Connections (extended) | — | 68.7% |
Math GPT-6 Luna leads
Codellama 34b Instruct: 28.5 (#227), GPT-6 Luna: 35.6 (#140)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1056 | 1396 |
Knowledge Not comparable
Codellama 34b Instruct: —, GPT-6 Luna: 40.1 (#110)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Expert | — | 1458 |
Multimodal Not comparable
Codellama 34b Instruct: —, GPT-6 Luna: 42.0 (#27)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
Codellama 34b Instruct: 25.9 (#279), GPT-6 Luna: 51.0 (#111)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1011 | 1390 |
| LMArena Chinese | 976 | 1425 |
| LMArena Russian | — | 1392 |
| LMArena Spanish | — | 1416 |
Instruction Following GPT-6 Luna leads
Codellama 34b Instruct: 52.4 (#286), GPT-6 Luna: 74.7 (#85)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1028 | 1414 |
Long Context GPT-6 Luna leads
Codellama 34b Instruct: 30.8 (#279), GPT-6 Luna: 43.3 (#95)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1014 | 1417 |
Writing & Preference GPT-6 Luna leads
Codellama 34b Instruct: 28.4 (#292), GPT-6 Luna: 58.4 (#115)
| Benchmark | Codellama 34b Instruct | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1066 | 1392 |
| LMArena Creative Writing | 1032 | 1357 |
| LMArena Multi-Turn | 1015 | 1400 |
Frequently asked questions
Is Codellama 34b Instruct better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 30.2 on the Noometry Index.
Is Codellama 34b Instruct or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 28.0 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and GPT-6 Luna share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-6 Luna has 18.