# GPT-5.3 Codex vs Llama 3-70B

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 2 categories and Llama 3-70B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 47.8 to 20.9.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.5 | 28.5 |
| Rank | 61 | 317 |
| Context | 400K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Llama 3-70B: 35.3 (#215)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,655 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Llama 3-70B: 20.9 (#132)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Cybench | — | 5% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Llama 3-70B: 17.4 (#284)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 122.91 |
| Kagi LLM Benchmark | — | 35.1% |
| LMArena Hard Prompts | — | 1195 |
| DTBench | — | 54.2% |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |

## Math

- GPT-5.3 Codex: —
- Llama 3-70B: 12.0 (#299)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |

## Knowledge

- GPT-5.3 Codex: —
- Llama 3-70B: 20.8 (#272)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| GPQA Diamond | — | 40.6% |
| LMArena Expert | — | 1149 |
| MMLU | — | 79.3% |

## Multilingual

- GPT-5.3 Codex: —
- Llama 3-70B: 33.8 (#246)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1231 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |

## Instruction Following

- GPT-5.3 Codex: —
- Llama 3-70B: 62.8 (#233)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |

## Long Context

- GPT-5.3 Codex: —
- Llama 3-70B: 35.6 (#235)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |

## Writing & Preference

- GPT-5.3 Codex: —
- Llama 3-70B: 43.0 (#225)

| Benchmark | GPT-5.3 Codex | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |

## FAQ

### Is GPT-5.3 Codex better than Llama 3-70B?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 28.5 on the Noometry Index.

### Is GPT-5.3 Codex or Llama 3-70B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 35.3 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Codex and Llama 3-70B share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Llama 3-70B has 31.