Model comparison
GPT-5-Codex vs Llama 13b
GPT-5-Codex is the stronger model overall, scoring 37.9 to 24.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 21.4.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 37.9 | 24.4 |
| Released | 2025-09-15 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 21 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), Llama 13b: 21.4 (#337)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 683 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Llama 13b: —
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Llama 13b: 14.0 (#329)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 728 |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Not comparable
GPT-5-Codex: —, Llama 13b: 26.7 (#256)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| LMArena Math | — | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-5-Codex: —, Llama 13b: —
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-5-Codex: —, Llama 13b: —
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Not comparable
GPT-5-Codex: —, Llama 13b: 16.6 (#297)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| LMArena Non-English | — | 819 |
Instruction Following Not comparable
GPT-5-Codex: —, Llama 13b: 36.7 (#305)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| LMArena Instruction Following | — | 781 |
Writing & Preference Not comparable
GPT-5-Codex: —, Llama 13b: 13.8 (#312)
| Benchmark | GPT-5-Codex | Llama 13b |
|---|---|---|
| LMArena Text | — | 834 |
| LMArena Creative Writing | — | 794 |
| LMArena Multi-Turn | — | 753 |
Frequently asked questions
Is GPT-5-Codex better than Llama 13b?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 24.4 on the Noometry Index.
Is GPT-5-Codex or Llama 13b better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Llama 13b share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Llama 13b has 21.