GPT-4ovsGPT-5.3-Codex
GPT-4o | GPT-5.3-Codex | |
|---|---|---|
| Specifications | ||
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 128k | — |
| 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. | $2.50 | $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. | $10.00 | $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. | $1.25 | $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. | $2.50Azure | $1.75Azure |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $10.00Azure | $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. | 12% | 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% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 49.9% | — |
| Overview | ||
| Company | OpenAI | OpenAI |
| Release date | May 13 2024 | Feb 5 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
Frequently asked questions
GPT-5.3-Codex leads GPT-4o on 1 of the 1 benchmark they both report (BullshitBench v2). GPT-5.3-Codex is cheaper on input: $1.75 vs $2.50 per million tokens. GPT-4o is cheaper on output: $10.00 vs $14.00 per million tokens. GPT-4o shipped 633 days before GPT-5.3-Codex, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On BullshitBench v2, GPT-5.3-Codex leads at 24% vs GPT-4o at 12%.
GPT-4o was released by OpenAI on May 13 2024.
GPT-5.3-Codex was released by OpenAI on Feb 5 2026.
GPT-5.3-Codex is cheaper on input: $1.75 vs $2.50 per million tokens. GPT-4o is cheaper on output: $10.00 vs $14.00 per million tokens. Rates are pay-as-you-go API prices verified on August 18, 2026.