--- title: "OpenAI: GPT-5.3-Codex — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/openai__gpt-5.3-codex/ description: "OpenAI: GPT-5.3-Codex: $1.75/M in, $14.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # OpenAI: GPT-5.3-Codex — unrated, priced in this catalogue · Undominated.ai > OpenAI: GPT-5.3-Codex: $1.75/M in, $14.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/openai__gpt-5.3-codex/) [Cheaper alternatives](/alternatives/) [Family](/families/gpt-5-3/) [Compare models](https://undominated.ai/compare/?models=openai%2Fgpt-5.3-codex) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # GPT-5.3-Codex OpenAI · 24 Feb 2026 · proprietary Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$4.81** / 1M tokens Balanced · 3 tokens in per 1 out Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://developers.openai.com/api/docs/pricing) Independent LMArena score Not independently rated Context window 400K Maximum output 128K Input modalities text, image, file Output modalities text Published input price $1.75 / 1M tokens Published output price $14.00 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from OpenAI: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Every price dimension · USD per million tokens | Input | $1.75 /M | | --- | --- | | Output | $14.00 /M | | Cached input | $0.175 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | | Web search | $0.01 /call | | Batch discount | 50% | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 3 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Azure azure Endpoint terms Cached input /M $0.175 Context limit 400,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $1.75 | Output $14.00 | Precision undeclared | Uptime (1d) 99.99% | | Seller OpenAI openai Endpoint terms Cached input /M $0.175 Context limit 400,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $1.75 | Output $14.00 | Precision undeclared | Uptime (1d) 100.00% | | Seller OpenAI openai/fast Endpoint terms Cached input /M $0.350 Context limit 400,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $3.50 | Output $28.00 | Precision undeclared | Uptime (1d) — | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. #### Best rankings by task - Godot games #27 1124 - Native Android apps #30 1084 - ASCII art #38 1162 - Web apps #39 1025 - Full-stack apps #42 981 - Mobile apps #44 1051 - SVG #53 1128 - Game development #62 1174 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 400K | | --- | --- | | Max output | 128K | | Input modes | text, image, file | | Tool use | yes | | Reasoning | optional | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | | Cross-checked | [vendor page](https://developers.openai.com/api/docs/pricing) | ## Our take editorial — not a measurement For teams using Codex tooling, compare this model with other coding candidates on completed repository tasks. Output-heavy generation and repeated repository context have different cost profiles, so inspect both output and cached-input rates in the current table. A coding label is not a substitute for an independent benchmark or a task evaluation. ### Strengths - The accepted source describes a coding-specialised model - Tool use and cached-input pricing are listed ### Weaknesses - Large generated outputs can dominate a coding workload’s bill - Check current benchmark coverage before making a measured capability claim ### Reach for it when - Repository-task evaluations in an existing Codex workflow - Workloads that can measure cache reuse ### Avoid it if - You have not compared completion quality and output volume - You require downloadable weights Sources: [developers.openai.com](https://developers.openai.com/api/docs/pricing) GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results... ## Questions this page answers What does GPT-5.3-Codex cost? $1.75/M in, $14.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does GPT-5.3-Codex have an independent quality score? GPT-5.3-Codex has no independent quality score in this catalogue. Unrated is not a score of zero. What beats GPT-5.3-Codex? GPT-5.3-Codex has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for GPT-5.3-Codex? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean GPT-5.3-Codex scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options OpenAI: GPT-5.3-Codex. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [GPT-5.5](/models/openai__gpt-5.5/) - OpenAI models [OpenAI](/providers/openai/) - Where this model appears [subscription vs API](/plans/) - Same vendor [GPT-5.6 Sol](/models/openai__gpt-5.6-sol/) - Same vendor [GPT-5.4](/models/openai__gpt-5.4/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![GPT-5.3-Codex — Undominated.ai dominance verdict](https://undominated.ai/badge/openai__gpt-5.3-codex.svg)](https://undominated.ai/models/openai__gpt-5.3-codex/) HTML Copy GPT-5.3-Codex — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/openai__gpt-5.3-codex.svg](https://undominated.ai/badge/openai__gpt-5.3-codex.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)