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Favicon for openai

OpenAI: GPT-5.3-Codex

openai/gpt-5.3-codex

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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 on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, reflecting improved multi-language coding, terminal proficiency, and real-world computer-use skills. The model is optimized for long-running, tool-using workflows and supports interactive steering during execution, making it suitable for complex development tasks, debugging, deployment, and iterative product work.

Beyond coding, GPT-5.3-Codex performs strongly on structured knowledge-work benchmarks such as GDPval, supporting tasks like document drafting, spreadsheet analysis, slide creation, and operational research across domains. It is trained with enhanced cybersecurity awareness, including vulnerability identification capabilities, and deployed with additional safeguards for high-risk use cases. Compared to prior Codex models, it is more token-efficient and approximately 25% faster, targeting professional end-to-end workflows that span reasoning, execution, and computer interaction.

Modalities
In / Out Price
$1.75 / $14per 1M
Context
400K
Released
Feb 24, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityDocumentationFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-5.3-Codex (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGPT-5.3 Codex (xhigh) GPQA Diamond91.5%
Artificial AnalysisGPT-5.3 Codex (xhigh) HLE42.5%
Artificial AnalysisGPT-5.3 Codex (xhigh) IFBench75.4%
Artificial AnalysisGPT-5.3 Codex (xhigh) τ²-Bench Telecom86.0%
Artificial AnalysisGPT-5.3 Codex (xhigh) AA-LCR83.3%
Artificial AnalysisGPT-5.3 Codex (xhigh) CritPt16.9%
Artificial AnalysisGPT-5.3 Codex (xhigh) Terminal-Bench Hard53.0%
Artificial AnalysisGPT-5.3 Codex (xhigh) AA-Omniscience Accuracy52.9%
Artificial AnalysisGPT-5.3 Codex (xhigh) AA-Omniscience Non-Hallucination Rate10.8%
Design ArenaGPT-5.3 Codex Agents Arena Androidnative Elo1084
Design ArenaGPT-5.3 Codex Agents Arena Full Stack Elo992
Design ArenaGPT-5.3 Codex Agents Arena Godotgamedev Elo1124
Design ArenaGPT-5.3 Codex Agents Arena Mobile Apps Elo1052
Design ArenaGPT-5.3 Codex Agents Arena Webapps Elo1043
Design ArenaGPT-5.3 Codex Models Arena 3D Elo1026
Design ArenaGPT-5.3 Codex Models Arena Asciiart Elo1162
Design ArenaGPT-5.3 Codex Models Arena Code Categories Elo1154
Design ArenaGPT-5.3 Codex Models Arena Data Visualization Elo1173
Design ArenaGPT-5.3 Codex Models Arena Game Development Elo1174
Design ArenaGPT-5.3 Codex Models Arena SVG Elo1127
Design ArenaGPT-5.3 Codex Models Arena UI Component Elo1147
Design ArenaGPT-5.3 Codex Models Arena Website Elo1170

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Documentation

Guides, cookbooks, and tools for building with OpenAI: GPT-5.3-Codex on OpenRouter.

  • GPT-5.4 Migration GuideCookbook

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$3.50$28.00$0.350----
--
Throughput
61tok/s

P50, best across providers

Latency
2.25s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
87.03%

Availability over the last 3 days

Last 72 hours
Availability 87.03%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
86.50%
Without Routing
86.46%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

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.

The GPT-5.3-Codex documentation on OpenRouter includes the GPT-5.4 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-5.3-Codex costs $1.75/M input tokens and $14.00/M output tokens, with separate rates for Cache Read at $0.175/M tokens.

GPT-5.3-Codex has a 400,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.3-Codex accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5.3-Codex accepts text, images, and files such as PDFs as input and returns text.

GPT-5.3-Codex is served by 2 providers on OpenRouter: Azure and OpenAI. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-5.3-Codex was released on February 24, 2026.

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