# GPT-5.3 Codex vs Llama 4 Maverick

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.6 on the Noometry Index. Llama 4 Maverick costs 16× 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-4-maverick
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GPT-5.3 Codex scores higher in 2 categories and Llama 4 Maverick in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 26.3.
- The biggest single-benchmark swing is WeirdML: 79.3% for GPT-5.3 Codex and 24.5% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 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 4 Maverick has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.5 | 30.6 |
| Rank | 61 | 276 |
| Context | 400K | 128K |
| Input $/M | $1.75 | $0.19 |
| Output $/M | $14 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Llama 4 Maverick: 26.3 (#318)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| WeirdML | 79.3% | 24.5% |
| ALE-Bench | 1,655 | 172.97 |
| SWE-bench Verified | 74.8% | — |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1408 | — |
| SciCode | — | 33.1% |
| BigCodeBench Instruct | — | 49.7% |
| LMArena Coding | — | 1302 |
| BigCodeBench Complete | — | 61.4% |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Llama 4 Maverick: 27.9 (#86)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Llama 4 Maverick: 10.1 (#337)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 132.2 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LMArena Hard Prompts | — | 1281 |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| ForecastBench | — | 57.5 |

## Math

- GPT-5.3 Codex: —
- Llama 4 Maverick: 24.6 (#256)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- GPT-5.3 Codex: —
- Llama 4 Maverick: 33.3 (#196)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |

## Multimodal

- GPT-5.3 Codex: —
- Llama 4 Maverick: 30.9 (#100)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1141 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- GPT-5.3 Codex: —
- Llama 4 Maverick: 42.4 (#190)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1258 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |

## Instruction Following

- GPT-5.3 Codex: —
- Llama 4 Maverick: 71.9 (#140)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| IFEval | — | 90.8% |
| LMArena Instruction Following | — | 1267 |

## Long Context

- GPT-5.3 Codex: —
- Llama 4 Maverick: 31.4 (#274)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | — | 46.2% |
| LMArena Longer Query | — | 1280 |

## Writing & Preference

- GPT-5.3 Codex: —
- Llama 4 Maverick: 39.0 (#247)

| Benchmark | GPT-5.3 Codex | Llama 4 Maverick |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1266 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1289 |

## FAQ

### Is GPT-5.3 Codex better than Llama 4 Maverick?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.6 on the Noometry Index. Llama 4 Maverick costs 16× 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 4 Maverick?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Llama 4 Maverick better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 26.3 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 4 Maverick share?

3 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Llama 4 Maverick has 54.