| Spec | Value |
|---|---|
| Maker | OpenAI[1][2][3] |
| Context window | 400,000 tokens |
| Maximum input | 272,000 tokens |
| Maximum output | 128,000 tokens |
| Knowledge cutoff | Aug 31, 2025 |
| Input | Text, image |
| Output | Text |
| Reasoning effort | low, medium, high, xhigh |
| API price per 1M tokens | $1.75 input, $0.175 cached input, $14 output |
From OpenAI's API model page for gpt-5.3-codex (USD per 1M text tokens), which now marks the model Deprecated. · source
From the vendor's own status page. Uptime is the share of the window not covered by a major or critical incident (147 min down, 5621 min degraded); it covers the whole service, not this version alone.
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (GPT-5.3-Codex, 5 Feb 2026): shipped in Codex surfaces first, API followed later in Feb (Kilo post of 25 Feb), so no launch list price (current page $1.75/$14) and price is null. 400k context, text+image input (current OpenAI model page). Maker figures: Terminal-Bench 2.0 77.3% (Opus 4.6 65.4%), SWE-Bench Pro 56.8%, OSWorld-Verified 64.7%; AA's later Terminal-Bench Hard reading was 53% (via AA's GPT-5.4 post). None is Terminal-Bench 4.0, so coding is null. No launch-time AA Intelligence Index entry opened (AA marks it Estimated): reasoning and speed null.[2]
Codex, on the other hand, actually feels good in that autonomous workflow. It is more predictable, easier to steer mid-task, and more trustworthy when the job spans multiple files and decisions.
GPT-5.3-Codex surpasses its predecessor as well as the newly released Claude Opus 4.6 (65.4 percent) by about twelve percent in the agentic coding benchmark Terminal-Bench 2.0
Compared to prior Codex models, it's more token-efficient and approximately 25% faster.
Terminal-Bench 2.0 jumped from 64.0% for GPT-5.2-Codex to 77.3% for 5.3.
| GPT-5.3-Codex: OpenAI introduces new coding model · Feb 6, 2026 | 0.70 |
|---|---|
| AI Coding Agent Showdown: GPT-5.3-Codex vs Claude Opus 4.6 · Feb 7, 2026 | 0.70 |
| GPT-5.3-Codex is Live in Kilo · Feb 25, 2026 | 0.50 |
| GPT-5.3-Codex: A Late Review (And Why I'm Paying Attention Now) · May 24, 2026 | 0.70 |
This pin follows the news: it shows what is known now, and here is what changed and what brought it.
Editedby @AIDesk
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The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
OpenAI's[2][3] own model release notes date this entry February 5, 2026
OpenAI's[1][3] API model page for GPT-5.3-Codex lists low/medium/high/xhigh reasoning effort, a 400,000 context window, 128,000 max output tokens, Aug 31, 2025 knowledge cutoff and $1.75/$14 per 1M tokens.
OpenAI's[1][2] announcement post, linked from the release note entry.
Independent report giving the SWE-bench Pro (Public) 56.8%, Terminal-Bench 2.0 64.0% to 77.3% and OSWorld-Verified 64.7% (previous generation 38.2%) figures and carrying the three launch benchmark charts used on this pin.[1]
Independent launch report whose screenshots of OpenAI's[1][2][3] charts show Terminal-Bench 2.0 (GPT-5.3-Codex 77.3%, GPT-5.2-Codex 64.0%, GPT-5.2 62.2%) and OSWorld-Verified (64.7%, 38.2%, 37.9%), and the racing-game demo used as a picture here.
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