# GPT-5.3 Codex vs Llama 3.2 1B

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 68× 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-3-2-1b
- 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 3.2 1B 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 14.5.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.5 | 19.9 |
| Rank | 61 | 349 |
| Context | 400K | 60K |
| Input $/M | $1.75 | $0.027 |
| Output $/M | $14 | $0.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Llama 3.2 1B: 20.6 (#333)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| BigCodeBench Instruct | — | 8.2% |
| LMArena Coding | — | 1071 |
| BigCodeBench Complete | — | 11.3% |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Llama 3.2 1B: 14.5 (#142)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Llama 3.2 1B: 15.6 (#304)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 101.95 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1044 |

## Math

- GPT-5.3 Codex: —
- Llama 3.2 1B: 9.7 (#308)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LMArena Math | — | 1086 |

## Knowledge

- GPT-5.3 Codex: —
- Llama 3.2 1B: 7.2 (#307)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | — | 23.9% |
| LMArena Expert | — | 1007 |

## Multilingual

- GPT-5.3 Codex: —
- Llama 3.2 1B: 23.9 (#287)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 958 |
| LMArena German | — | 1014 |
| LMArena Russian | — | 941 |

## Instruction Following

- GPT-5.3 Codex: —
- Llama 3.2 1B: 52.6 (#285)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |

## Long Context

- GPT-5.3 Codex: —
- Llama 3.2 1B: 31.9 (#269)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | — | 1050 |

## Writing & Preference

- GPT-5.3 Codex: —
- Llama 3.2 1B: 21.4 (#305)

| Benchmark | GPT-5.3 Codex | Llama 3.2 1B |
|---|---|---|
| LMArena Text | — | 1055 |
| LMArena Creative Writing | — | 1033 |
| EQ-Bench Creative Writing | — | 200 |
| LMArena Multi-Turn | — | 1030 |

## FAQ

### Is GPT-5.3 Codex better than Llama 3.2 1B?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 68× 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 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Llama 3.2 1B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 20.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 60K.

### How many benchmarks do GPT-5.3 Codex and Llama 3.2 1B share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Llama 3.2 1B has 22.