Model comparison
GPT-6 Luna vs Llama 2-7B
GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.6 on the Noometry Index.
Last verified . 13 shared benchmarks.
MetaSummary
- They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.1 | 28.6 |
| Released | 2026-09-22 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 18 | 29 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Llama 2-7B: 28.7 (#302)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1448 | 1002 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Llama 2-7B: 15.1 (#309)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1009 |
| NYT Connections (extended) | 68.7% | — |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 98.54 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), Llama 2-7B: 28.2 (#231)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Math | 1396 | 1042 |
| GSM8K | — | 16.7% |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 40.1 (#110), Llama 2-7B: 27.7 (#243)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1458 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Llama 2-7B: —
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| Furniture Assembly | 44.2% | — |
| ScienceQA | — | 43.1% |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 51.0 (#111), Llama 2-7B: 23.9 (#288)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1390 | 973 |
| LMArena Chinese | 1425 | 973 |
| LMArena Russian | 1392 | 995 |
| LMArena Spanish | 1416 | 1007 |
| LMArena French | — | 969 |
| LMArena German | — | 978 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.7 (#85), Llama 2-7B: 51.0 (#293)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1414 | 1006 |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.3 (#95), Llama 2-7B: 30.4 (#282)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1417 | 999 |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), Llama 2-7B: 28.1 (#293)
| Benchmark | GPT-6 Luna | Llama 2-7B |
|---|---|---|
| LMArena Text | 1392 | 1053 |
| LMArena Creative Writing | 1357 | 1033 |
| LMArena Multi-Turn | 1400 | 1029 |
Frequently asked questions
Is GPT-6 Luna better than Llama 2-7B?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 28.6 on the Noometry Index.
Is GPT-6 Luna or Llama 2-7B better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 28.7 in the Noometry coding category.
How many benchmarks do GPT-6 Luna and Llama 2-7B share?
13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Llama 2-7B has 29.