GPT-5.4
Pricing & Specs

OpenAI · $2.5 input / $15 output per 1M tokens · 1.05M context window

$2.5
per 1M input tokens
$15
per 1M output tokens
1.05M
context window (tokens)

The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on GPT-5.4 costs about $0.0100 — roughly $10.00 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.

GPT-5.4 API Pricing

TokensPrice
Input$2.5 / 1M tokens
Output$15 / 1M tokens
Cached input$0.25 / 1M tokens

Cached input tokens are billed when caching is enabled.

What that means in practice

1x One typical task (1K input + 500 output tokens): $0.0100
1K 1,000 runs of that task: $10.00
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

GPT-5.4 Specs

SpecValue
Context window1.05M tokens
Max output tokens128K tokens
Input modalitiestext, image
Output modalitiestext
Knowledge cutoffAugust 31st 2025
Reasoning modelYes
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingYes
Batch APIYes

Notes

Runs with reasoning_effort medium by default. OpenMark uses out-of-the-box default parameters.

FAQ

How much does GPT-5.4 cost?

GPT-5.4 costs $2.5 per 1M input tokens and $15 per 1M output tokens ($0.25 per 1M cached input tokens).

What is GPT-5.4's context window?

GPT-5.4 has a 1.05M-token context window. Maximum output is 128K tokens.

Can I test GPT-5.4 on my own task?

Yes. OpenMark lets you benchmark GPT-5.4 against 100+ models on your own task with real API calls — no API keys needed, free tier available.

Is GPT-5.4 the right model for YOUR task?

Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.

Benchmark GPT-5.4 — Free →