# GPT-5.3 Codex vs Llama 2-7B

> GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-llama-2-7b
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Llama 2-7B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 29.2.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.8 | 29.1 |
| Rank | 69 | 317 |
| Context | 400K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.6 (#56)
- Llama 2-7B: 29.2 (#307)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1002 |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 48.0 (#9)
- Llama 2-7B: —

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Llama 2-7B: 15.7 (#312)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 99.06 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1009 |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- GPT-5.3 Codex: —
- Llama 2-7B: 30.7 (#233)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Math | — | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- GPT-5.3 Codex: —
- Llama 2-7B: 28.2 (#248)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- GPT-5.3 Codex: —
- Llama 2-7B: —

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- GPT-5.3 Codex: —
- Llama 2-7B: 23.8 (#293)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 973 |
| LMArena French | — | 970 |
| LMArena German | — | 978 |
| LMArena Russian | — | 995 |
| LMArena Spanish | — | 1007 |

## Instruction Following

- GPT-5.3 Codex: —
- Llama 2-7B: 50.8 (#298)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | — | 1006 |

## Long Context

- GPT-5.3 Codex: —
- Llama 2-7B: 30.4 (#287)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | — | 999 |

## Writing & Preference

- GPT-5.3 Codex: —
- Llama 2-7B: 28.0 (#298)

| Benchmark | GPT-5.3 Codex | Llama 2-7B |
|---|---|---|
| LMArena Text | — | 1053 |
| LMArena Creative Writing | — | 1033 |
| LMArena Multi-Turn | — | 1029 |

## FAQ

### Is GPT-5.3 Codex better than Llama 2-7B?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.1 on the Noometry Index.

### Is GPT-5.3 Codex or Llama 2-7B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 29.2 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Codex and Llama 2-7B share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Llama 2-7B has 29.