The AI arena is free today

Open Playground
OpenAIReleased on Feb 5, 2026

GPT-5.3 Codex: API Pricing, Context Window & Benchmarks

GPT-5.3 Codex is a language model from OpenAI, released in February 2026, with multimodal input, a 400K-token context window, and pricing from $1.75/M input and $14.00/M output.

GPT-5.3-Codex is OpenAI's most capable coding model, combining frontier agentic coding capabilities, improvements in aesthetics, and context compaction. It sets new state-of-the-art results on Terminal-Bench 2.0 (77.3%), OSWorld-Verified

Input
TextImage
Output
Text

GPT-5.3 Codex benchmarks

Rankings

Quality Tracker

GPT-5.3 Codex Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Thu Aug 06 2026
Notice missing or incorrect data?

GPT-5.3 Codex pricing

Providers

GPT-5.3 Codex starts at $1.75 per million input tokens and $14.00 per million output tokens via OpenAI.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
OpenAI logoOpenAI
$1.75$14.00400.0K/128.0K
2.47
260
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

GPT-5.3 Codex context window

Input and output token limits for GPT-5.3 Codex, plus how it ranks on long-context understanding.

InputOutput
400Ktokens
128Ktokens
602 pages of text
400K
8K128K1M

GPT-5.3 Codex API

POST/v1/chat/completions

Run a request to see the response

Use it in your code

Billed at $1.75 input / $14.00 output per 1M tokens through the LLM Stats gateway.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://gateway.llm-stats.com/v1"
)

response = client.chat.completions.create(
    model="gpt-5.3-codex",
    messages=[
        {"role": "user", "content": "What is machine learning?"}
    ]
)

print(response.choices[0].message.content)

Need an API key? Create one above in the playground, or read the API documentation.

GPT-5.3 Codex latency

GPT-5.3 Codex time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Provider operational metrics

Time to first token, output throughput, and failed-request rate from live API traffic

Loading chart...
Loading chart...
Loading chart...

GPT-5.3 Codex examples

Recent arena outputs from GPT-5.3 Codex, picked from the highest-ranked matchups.

GPT-5.3 Codex license

GPT-5.3 Codex is a proprietary model available under its provider's product and API terms.

License
Proprietary
Hosted access

Proprietary license - usage restrictions apply

GPT-5.3 Codex resources

Official sources for GPT-5.3 Codex: api documentation, official launch post.

GPT-5.3 Codex vs other models

The most-compared alternatives to GPT-5.3 Codex are Gemini 3 Pro, Gemini 3 Flash, Claude Mythos Preview. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like GPT-5.3 Codex

Models ranked just above and below GPT-5.3 Codex by LLM Stats score.

 

Gemini 3 Pro

Score pending
 

Gemini 3 Flash

Score pending
 

Claude Mythos Preview

Score pending
 

MiMo-V2.5-Pro

Score pending
 

QwQ-32B

Score pending
 

Kimi K2.6

Score pending

FAQ

Common questions about GPT-5.3 Codex.

When was GPT-5.3 Codex released?

GPT-5.3 Codex was released on February 5, 2026 by OpenAI. This is the official GPT-5.3 Codex release date tracked on LLM Stats.

How much does GPT-5.3 Codex cost?

GPT-5.3 Codex costs $1.75 per million input tokens and $14.00 per million output tokens through the LLM Stats API, which works with any OpenAI-compatible SDK. Across tracked providers, the lowest price is $1.75 per million input tokens via OpenAI.

Is GPT-5.3 Codex available via API?

Yes. GPT-5.3 Codex is available through the LLM Stats API and works with any OpenAI-compatible SDK — point your client at the gateway base URL and pass the model name. It is served by 1 provider tracked on LLM Stats.

Who created GPT-5.3 Codex?

GPT-5.3 Codex was created by OpenAI.

What is the license for GPT-5.3 Codex?

GPT-5.3 Codex is released under the Proprietary license.

Is GPT-5.3 Codex multimodal?

Yes, GPT-5.3 Codex is multimodal and can accept both text and images as input.

What is GPT-5.3 Codex latency?

GPT-5.3 Codex p95 time to first token is 2.47 seconds via OpenAI over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and API workloads.

Where can I use GPT-5.3 Codex?

GPT-5.3 Codex is available through 1 provider including OpenAI.

Where is the GPT-5.3 Codex paper or technical report?

GPT-5.3 Codex has a paper or technical report available at https://openai.com/index/introducing-gpt-5-3-codex/. Use that source for architecture, training, release and evaluation details.

What models should I compare GPT-5.3 Codex against?

Common GPT-5.3 Codex comparisons include GPT-5.3 Codex vs Gemini 3 Pro, GPT-5.3 Codex vs Gemini 3 Flash, GPT-5.3 Codex vs Claude Mythos Preview. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.