# GPT-5.3 Codex vs Llama 3.1-70B

> GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.6 on the Noometry Index. Llama 3.1-70B costs 12× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-llama-3-1-70b
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-5.3 Codex scores higher in 2 categories and Llama 3.1-70B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 25.1.
- The biggest single-benchmark swing is WeirdML: 79.3% for GPT-5.3 Codex and 9% for Llama 3.1-70B.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.8 | 29.6 |
| Rank | 69 | 308 |
| Context | 400K | 128K |
| Input $/M | $1.75 | $0.40 |
| Output $/M | $14 | $0.40 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.6 (#56)
- Llama 3.1-70B: 30.3 (#296)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| WeirdML | 79.3% | 9% |
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| BigCodeBench Instruct | — | 46.1% |
| LMArena Coding | — | 1260 |
| BigCodeBench Complete | — | 54.8% |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 48.0 (#9)
- Llama 3.1-70B: 25.1 (#112)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Llama 3.1-70B: 21.6 (#220)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 125.92 |
| LMArena Hard Prompts | — | 1241 |
| DTBench | — | 60% |
| LMCA | — | 14.8% |

## Math

- GPT-5.3 Codex: —
- Llama 3.1-70B: 13.5 (#304)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| LMArena Math | — | 1252 |
| MATH Level 5 | — | 36.7% |

## Knowledge

- GPT-5.3 Codex: —
- Llama 3.1-70B: 24.2 (#269)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1209 |
| MMLU | — | 80.1% |

## Multilingual

- GPT-5.3 Codex: —
- Llama 3.1-70B: 38.8 (#225)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | — | 1219 |
| LMArena Chinese | — | 1215 |
| LMArena French | — | 1261 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1132 |
| LMArena Korean | — | 1140 |
| LMArena Russian | — | 1234 |
| LMArena Spanish | — | 1253 |

## Instruction Following

- GPT-5.3 Codex: —
- Llama 3.1-70B: 65.3 (#223)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| IFEval | — | 82.1% |
| LMArena Instruction Following | — | 1231 |

## Long Context

- GPT-5.3 Codex: —
- Llama 3.1-70B: 37.6 (#214)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | — | 1241 |

## Writing & Preference

- GPT-5.3 Codex: —
- Llama 3.1-70B: 35.4 (#267)

| Benchmark | GPT-5.3 Codex | Llama 3.1-70B |
|---|---|---|
| LMArena Text | — | 1261 |
| LMArena Creative Writing | — | 1232 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
| LMArena Multi-Turn | — | 1256 |

## FAQ

### Is GPT-5.3 Codex better than Llama 3.1-70B?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.6 on the Noometry Index. Llama 3.1-70B costs 12× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Codex or Llama 3.1-70B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Llama 3.1-70B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 30.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 128K.

### How many benchmarks do GPT-5.3 Codex and Llama 3.1-70B share?

2 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Llama 3.1-70B has 35.