GPT-5.3 tuned for agentic software engineering; powers Codex. Fast mode costs $3.50 / $28 per 1M. Built by OpenAI.
Prices updated
Input price
$1.75
per 1M tokens · Standard
Output price
$14
per 1M tokens · Standard
Input limit
400K
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-5.3 Codex price history
2 price records since 9/25/2026
GPT-5.3 Codex cost calculator
$105/month
Standard pricing
Overview
What is GPT-5.3 Codex?
GPT-5.3 Codex is a code & slms and text & reasoning model from OpenAI. GPT-5.3 tuned for agentic software engineering; powers Codex. Fast mode costs $3.50 / $28 per 1M. Its 400K context window and $1.75 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-5.3 Codex benchmarks & speed
How GPT-5.3 Codex scores on standardized evaluations, and where it lands among every model we track.
32.5
Intelligence Index
102tok/s
Output speed
1148
DesignArena Elo
Reasoning
GPQA Diamond
91.5%
Graduate-level scientific reasoning · top 16%
HLE
42.5%
Humanity's Last Exam · top 15%
Latency & design
- Time to first token
- 68.72s
- DesignArena win rate
- 47.2%
- Design battles judged
- 15,675
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-5.3 Codex pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.75
Per 1M tokens
Cached input · Standard
$0.17
Per 1M tokens
Capabilities
GPT-5.3 Codex Tools
Tools available when using GPT-5.3 Codex through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
GPT-5.3 Codex API providers
3 providers serve GPT-5.3 Codex. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Azure | $1.75 | $14 | $0.17 | 400K | 99.9% |
| OpenAI | $1.75 | $14 | $0.17 | 400K | 100% |
| OpenAI | $3.50 | $28 | $0.35 | 400K | — |
- Input
- $1.75
- Output
- $14
- Cached
- $0.17
- Context
- 400K
- Uptime
- 99.9%
- Input
- $1.75
- Output
- $14
- Cached
- $0.17
- Context
- 400K
- Uptime
- 100%
- Input
- $3.50
- Output
- $28
- Cached
- $0.35
- Context
- 400K
- Uptime
- —
Strengths and limitations
Strengths
- Measured results (AA Intelligence 32.5 · DesignArena Elo 1148 · Arena Elo 1244 · MMLU-Pro 81%) position it for demanding production work.
- 400K context supports large documents, repositories and extended conversations.
- Supports code & slms and text & reasoning workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
