GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for... Built by OpenAI.
Prices updated
Input price
$2.50
per 1M tokens · Standard
Output price
$15
per 1M tokens · Standard
Input limit
1.1M
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-5.4 price history
2 price records since 9/25/2026
GPT-5.4 cost calculator
$125/month
Standard pricing
Overview
What is GPT-5.4?
GPT-5.4 is a text & reasoning and vision model from OpenAI. GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for... Its 1.1M context window and $2.50 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-5.4 benchmarks & speed
How GPT-5.4 scores on standardized evaluations, and where it lands among every model we track.
39.0
Intelligence Index
107tok/s
Output speed
Reasoning
GPQA Diamond
92.0%
Graduate-level scientific reasoning · top 15%
HLE
43.7%
Humanity's Last Exam · top 11%
Latency & design
- Time to first token
- 153.17s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-5.4 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.50
Per 1M tokens
Cached input · Standard
$0.25
Per 1M tokens
Capabilities
GPT-5.4 Tools
Tools available when using GPT-5.4 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
Strengths and limitations
Strengths
- Measured results (AA Intelligence 39) position it for demanding production work.
- 1.1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× 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.
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