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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

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

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), 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. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

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.

Quick Start

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.

About OpenAI: GPT-5.3-Codex

OpenRouter makes OpenAI: GPT-5.3-Codex available through a unified, OpenAI-compatible API using the model ID openai/gpt-5.3-codex. Requests can be routed across 2 providers, including OpenAI and Azure, with automatic failover when an endpoint is unavailable.

OpenAI: GPT-5.3-Codex accepts text, images and files such as PDFs and returns text. It has a 400,000-token context window and a maximum output of 128,000 tokens.

On OpenRouter, OpenAI: 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 and Web Search at $10.00/1K calls. Effective pricing can be lower when prompt caching applies. It was released on February 24, 2026.

More models from OpenAI

  • GPT Transcribe
  • GPT-5.6 Luna Pro
  • GPT-5.6 Luna

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.

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 and Web Search at $10.00/1K calls.

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: OpenAI and Azure. 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.

$1.75$14.00$0.1752.58s72 tps
99.89%
$1.75$14.00$0.1755.44s55 tps
100.00%

Throughput

72tok/s

P50, best across providers

Latency

2.58s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

99.54%

Availability over the last 3 days

Last 72 hours
Availability 99.54%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.65%
Without Routing
98.09%

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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