LLaMA 4 Scout vs GPT-5.3-Codex
Meta LLaMA 4 Scout | OpenAI GPT-5.3-Codex | |
|---|---|---|
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Apr 5 2025 | Feb 5 2026 |
| Access | Open Weight | Proprietary |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 19% | 24%Best |
Next.js coding Next.js EvalsVercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | — | 83% |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1406 |
| Timeline | ||
| Release gap | LLaMA 4 Scout shipped 306 days before GPT-5.3-Codex | |
Which is better: LLaMA 4 Scout or GPT-5.3-Codex?
GPT-5.3-Codex leads LLaMA 4 Scout on 1 of the 1 benchmark they both report (BullshitBench v2). LLaMA 4 Scout shipped 306 days before GPT-5.3-Codex, so benchmark comparisons should account for the intervening progress.
LLaMA 4 Scout is open weight, while GPT-5.3-Codex is proprietary.
On BullshitBench v2, GPT-5.3-Codex leads at 24% vs LLaMA 4 Scout at 19%.
Frequently asked questions
LLaMA 4 Scout was released by Meta on Apr 5 2025.
GPT-5.3-Codex was released by OpenAI on Feb 5 2026.
LLaMA 4 Scout is an open weight model released by Meta. GPT-5.3-Codex is a proprietary model released by OpenAI.
Other comparisons
LLaMA 4 Scout vs Claude Sonnet 5GPT-5.3-Codex vs Claude Sonnet 5LLaMA 4 Scout vs Gemini OmniGPT-5.3-Codex vs Gemini OmniLLaMA 4 Scout vs Grok 4.5GPT-5.3-Codex vs Grok 4.5LLaMA 4 Scout vs DeepSeek-V4-ProGPT-5.3-Codex vs DeepSeek-V4-ProLLaMA 4 Scout vs Mistral Medium 3.5GPT-5.3-Codex vs Mistral Medium 3.5LLaMA 4 Scout vs Kimi K2.7 CodeGPT-5.3-Codex vs Kimi K2.7 Code