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Model detail

gpt-5.4-pro

Provided by OpenAI
Pay-as-you-go Dynamic pricing 2 tiers

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs. Optimized for step-by-step reasoning, instruction following, and accuracy, GPT-5.4 Pro excels at agentic coding, long-context workflows, and multi-step problem solving.

Model specs

Context length
1.05M
Max output
128K
I/O modalities
Text / Image
Released
2026-03

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API endpoints

One MixRoute gateway, OpenAI-compatible

  • OpenAI-compatible /v1/chat/completions POST

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Tiered pricing

Unit: /1M Tokens

Tier Input /1M Tokens Output /1M Tokens
standard Length ≤ 272K $30.0000 $180.0000
long_context Length > 272K $60.0000 $270.0000

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Selection summary

Quickly judge whether it fits your workload

What is this model good for?

High-accuracy reasoning for complex and high-stakes tasks

Use gpt-5.4-pro for demanding reasoning, agentic coding, long-context analysis, and multi-step problem solving where accuracy matters most.

What should you check before using it?

Measure quality, latency, and cost against a strong baseline

Run a representative evaluation for difficult tasks and confirm current limits, response time, and pricing before selecting the Pro tier.

How should you start?

Use gpt-5.4-pro for the cases that need extra reasoning

Start with model ID gpt-5.4-pro on a small set of high-value tasks and retain a measured fallback for routine workloads.

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Token cost estimator

Live estimate from this page's pricing, not an actual bill

This model has no cache-read price; caching is not counted

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FAQ

gpt-5.4-pro is intended for complex reasoning, agentic coding, long-context analysis, and high-stakes multi-step work where accuracy is especially important.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.