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GPT-5.4

GPTv5.4Current
byOpenAIOpenAI(ai lab)
Released March 5, 2026
Context1.1M
Price (In / Out)$2.50/M / $15.00/M
Training CutoffAugust 2025
CategoryLarge Language Model
Max Output128K

Capabilities

What GPT-5.4 can do and the modalities it supports.

Features

textvisioncodetool useextended thinkingcomputer use

Input Modalities

textimage

Output Modalities

text

Benchmarks

Performance scores for GPT-5.4 across standard benchmarks.

BenchmarkScoreDate
GDPval83March 5, 2026
SWE-Bench Pro57.7March 5, 2026
OSWorld-Verified75March 5, 2026

Pricing

Token pricing for GPT-5.4 API usage.

Input Tokens

$2.50/M

per million tokens

Output Tokens

$15.00/M

per million tokens

Cached inputs: $0.625/M. Prompts >272K input tokens charged at 2x input and 1.5x output for full session. GPT-5.4 Pro: $30/$180 per million tokens. Batch/Flex: 50% discount. Priority: 2x rate. Data residency: +10%.

Competing Models

Alternative models that compete with GPT-5.4.

ModelFamilyContext WindowPrice (In / Out per M)Status
Claude Sonnet 4.6Claude200K$3.00/M / $15.00/MCurrent
Gemini 2.5 ProGemini1.0M$1.25/M / $10.00/MCurrent

About GPT-5.4

OpenAI's most capable and efficient frontier model for professional work, released March 2026. GPT-5.4 is the first mainline reasoning model to incorporate the frontier coding capabilities of GPT-5.3-Codex while adding native, state-of-the-art computer-use capabilities. It supports a 1M+ token context window (922K input, 128K output) and configurable reasoning effort (none, low, medium, high, xhigh). It scored a record 83% on GDPval for knowledge work, 57.7% on SWE-Bench Pro (surpassing GPT-5.3-Codex), and 75% on OSWorld-Verified (exceeding the 72.4% human baseline). Features include tool search for efficient large tool surfaces, native computer use for operating software through UI, and the full modern agent stack. GPT-5.4 is 33% less likely to make individual claim errors and 18% less likely to have response-level errors vs GPT-5.2.

Technical Details

API Identifier
gpt-5.4
Category
Large Language Model
Context Window
1,050,000 tokens
Max Output Tokens
128,000 tokens

Tags

reasoningcodingmultimodaltool-usecomputer-useagenticfrontier