LLaMA 3.1vsGPT-5.3-Codex
LLaMA 3.1 | GPT-5.3-Codex | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.75 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $14.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.175 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.02Novita | $1.75Azure |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.05Novita | $14.00Azure |
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given 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. | 14% | 24% |
| BenchmarksPublished by one model only | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 85% |
Next.js EvalsNext.js coding — Vercel'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. | — | 81% |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Jul 23 2024 | Feb 5 2026 |
| Access | Open Weight | Proprietary |
Other comparisons
Frequently asked questions
GPT-5.3-Codex leads LLaMA 3.1 on 1 of the 1 benchmark they both report (BullshitBench v2). Only GPT-5.3-Codex has a verified first-party API price: $1.75 per million input tokens and $14.00 per million output tokens. No pay-as-you-go API rate is tracked for LLaMA 3.1. LLaMA 3.1 shipped 562 days before GPT-5.3-Codex, so benchmark comparisons should account for the intervening progress.
LLaMA 3.1 is open weight, while GPT-5.3-Codex is proprietary.
On BullshitBench v2, GPT-5.3-Codex leads at 24% vs LLaMA 3.1 at 14%.
LLaMA 3.1 was released by Meta on Jul 23 2024.
GPT-5.3-Codex was released by OpenAI on Feb 5 2026.
Only GPT-5.3-Codex has a verified first-party API price: $1.75 per million input tokens and $14.00 per million output tokens. No pay-as-you-go API rate is tracked for LLaMA 3.1. Rates are pay-as-you-go API prices verified on August 18, 2026.
LLaMA 3.1 is an open weight model released by Meta. GPT-5.3-Codex is a proprietary model released by OpenAI.