GPT-5.3 Codex API
openai/gpt-5.3-codex
Industry-leading agentic coding model. 400K context, reasoning, tool use, and complex execution
Code Examples
from blockrun_llm import LLMClient
client = LLMClient() # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("openai/gpt-5.3-codex", "Hello!")import { LLMClient } from '@blockrun/llm';
const client = new LLMClient(); // Uses BLOCKRUN_WALLET_KEY (never sent to server)
const response = await client.chat('openai/gpt-5.3-codex', 'Hello!');curl -X POST https://blockrun.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "PAYMENT-SIGNATURE: <payment_header>" \
-d '{
"model": "openai/gpt-5.3-codex",
"messages": [{"role": "user", "content": "Hello!"}],
"max_tokens": 1024
}'Pricing
No markup on official OpenAI rates; $0.001 fee per call.
Payment
Pay per request with USDC on Base. No subscription required.
Try It
Send a message to try GPT-5.3 Codex
Connect your wallet to enable payments
About OpenAI GPT-5.3 Codex
GPT-5.3 Codex is a coding and reasoning model from OpenAI with a 400K-token context window and up to 128K tokens of output per call. It is billed per token at the provider's list rate, with no markup on chat tokens. It is served through BlockRun's OpenAI-compatible API, so it can be called without an account, an API key, or a subscription.
Use GPT-5.3 Codex for
- Coding agents: writing, reviewing and refactoring code across a repository
- Multi-step reasoning: planning, analysis and math that need thinking before an answer
- Chat assistants and agents that answer, summarise and draft
What it costs
GPT-5.3 Codex is billed per token. The underlying rates are $1.75 per million input tokens and $14.00 per million output tokens with no platform margin on chat tokens; only a small per-transaction fee covering on-chain settlement is added on top, and the resulting price is quoted in the 402 before you pay. You are charged for the tokens a request actually consumes — there is no monthly commitment and no unused balance to forfeit. With a context window of 400,000 tokens and up to 128,000 tokens of output, a single call can carry a substantial working set.
Specifications
- Context window
- 400,000 tokens
- Maximum output
- 128,000 tokens
- API compatibility
- OpenAI-compatible
- Payment
- USDC via x402
- Categories
- coding, reasoning, chat
Calling it from your code
Pass openai/gpt-5.3-codex as the model field. Because the endpoint mirrors the OpenAI chat completions schema, any existing OpenAI client works by changing the base URL — streaming, tool use, and multi-turn messages all behave the same way.
The first request returns a 402 carrying the exact price; a signed retry runs it, and client libraries fold the two into one call — how the payment works. See the documentation for request and response shapes, the LLM API page for every model on this endpoint, or browse the full catalog of 90 chat models to compare alternatives.
GPT-5.3 Codex or another model
The closest alternatives by price that do the same kind of work. Each is called on the same endpoint with the same request, so comparing two is a one-line change.
| Model | Price | Context |
|---|---|---|
| OpenAI GPT-5.3 Codex (this page) | $1.75 in / $14.00 out per 1M | 400K context |
| OpenAI GPT-5.2 | $1.75 in / $14.00 out per 1M | 400K context |
| OpenAI GPT-5.4 | $2.50 in / $15.00 out per 1M | 1.05M context |
| Google Gemini 3.1 Pro | $2.00 in / $12.00 out per 1M | 1.05M context |
GPT-5.3 Codex API questions
How much does the GPT-5.3 Codex API cost?
$1.75 per million input tokens and $14.00 per million output tokens, with cached input at $0.17 per million. There is no markup on chat tokens; a small per-call transaction fee is added, and the price is quoted in the 402 before the call runs.
What is GPT-5.3 Codex's context window?
400,000 tokens of context, with up to 128,000 tokens of output per call.
Is the GPT-5.3 Codex API OpenAI-compatible?
Yes. Send an OpenAI chat-completions request with "model": "openai/gpt-5.3-codex" to the BlockRun endpoint. An existing OpenAI client works by changing the base URL; streaming and multi-turn messages behave the same way.
Do I need an API key to use GPT-5.3 Codex?
No. Each request carries its own payment, so an agent or script can call GPT-5.3 Codex with no account and no key. Teams that prefer one can use an API key with card or invoice billing instead.
What happens if GPT-5.3 Codex is unavailable?
A request that fails is not charged. If you set "allow_fallback": true, a failed call can be retried on OpenAI GPT-5.2 instead, never at a higher price than you were quoted.
Related models
Every model on BlockRun is reached through the same endpoint and the same payment flow, so switching is a one-line change to the model field. These are the closest alternatives to GPT-5.3 Codex:
- OpenAI GPT-4.1 Mini$0.40 in / $1.60 out per 1M
- OpenAI GPT-4.1 Nano$0.10 in / $0.40 out per 1M
- OpenAI GPT-4o$2.50 in / $10.00 out per 1M
- OpenAI GPT-4o Mini$0.15 in / $0.60 out per 1M
- OpenAI o1$15.00 in / $60.00 out per 1M
- OpenAI GPT-4.1$2.00 in / $8.00 out per 1M
Two ways to run this
Get an API key
Sign in, get a key, and call the same endpoints with usage billed to your account. For teams that want one invoice instead of one wallet.
Get an API keyOr let your agent pay per call, in USDC
No account, no API key. Three steps, and the last one is the request this page is about.
- Point your agent at BlockRun
Install ClawRouter, or add the BlockRun MCP server to Claude Code, Cursor, Codex or OpenClaw. Any OpenAI-compatible client works too — change the base URL, nothing else.
curl -fsSL https://blockrun.ai/ClawRouter-update | bash - Fund a wallet with USDC
Send USDC to a wallet on Base, Solana or Arc. There is no account to create and no API key to issue: the wallet is the account, and it pays per call.
- Call GPT-5.3 Codex
The first call returns HTTP 402 with the exact price, your agent signs it, and the answer comes back. Payment settles on-chain; nothing is charged if the call fails.
curl -X POST https://blockrun.ai/api/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{"model": "openai/gpt-5.3-codex", "messages": [{"role": "user", "content": "Hello!"}]}'
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