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Text Generation Model

GPT 5.4

GPT 5.4 is a text generation model from OpenAI with a 1,000,000 token context window and 128,000 token max response size.

PublisherOpenAI
TypeText
Context Window1,000,000 tokens
ReleasedMarch 2026
Input$2.50/MTok
Output$15.00/MTok
LATEST

Large context text generation from OpenAI

GPT 5.4 is a large language model developed by OpenAI, released in March 2026. It is designed for text generation tasks and supports a context window of one million tokens, allowing it to process and reason over very long documents or conversation histories within a single request. The model has a maximum response size of 128,000 tokens, making it suitable for tasks that require extended outputs.

GPT 5.4 is available through MindStudio as a first-party OpenAI model, meaning it is served directly by OpenAI's infrastructure. It carries the "LATEST" tag, indicating it represents a current release in OpenAI's GPT model line. The combination of its large context window and high output limit makes it well suited for document analysis, long-form content generation, multi-turn conversations, and tasks requiring sustained coherence across large amounts of text.

What GPT 5.4 supports

Long Context Processing

Handles up to 1,000,000 tokens of input in a single request, enabling analysis of large documents or extended conversation histories.

Extended Text Output

Generates responses up to 128,000 tokens in length, supporting long-form writing, detailed reports, and multi-step reasoning outputs.

Conversational Chat

Operates as a chat-style language model (llm_chat), maintaining context across multi-turn dialogue for assistant and agent workflows.

Text Generation

Produces natural language text across a wide range of formats including summaries, drafts, explanations, and structured content.

Latest Model Access

Tagged as LATEST, meaning it reflects a current release in OpenAI's GPT lineup as of March 2026.

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Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

BenchmarkWhat it testsScore
GPQA DiamondPhD-level science questions (biology, physics, chemistry)92.0%
HLEQuestions that challenge frontier models across many domains41.6%
SciCodeScientific research coding and numerical methods56.6%
ARC-AGI-2Novel abstract reasoning and pattern recognition73.3%
OSWorld-VerifiedAutonomous computer use and desktop tasks75.0%
SWE-bench ProChallenging real-world software engineering tasks57.7%
Terminal-Bench 2.0Agentic coding and terminal command tasks75.1%
BrowseCompComplex web browsing and information retrieval82.7%

Common questions about GPT 5.4

What is the context window size for GPT 5.4?

GPT 5.4 supports a context window of 1,000,000 tokens, allowing very large documents or long conversation histories to be processed in a single request.

What is the maximum response length GPT 5.4 can produce?

The model can generate responses up to 128,000 tokens in a single output, which supports long-form content and detailed completions.

What is the pricing for GPT 5.4?

Pricing information for GPT 5.4 is not published in the available metadata. You should check OpenAI's official pricing page or your MindStudio plan for current cost details.

When was GPT 5.4 released?

GPT 5.4 was released in March 2026 and was added to MindStudio on March 6, 2026.

Does GPT 5.4 support image or video inputs?

Based on the available metadata, image and video analysis support is not confirmed for GPT 5.4. The model's listed input types do not include image or video modalities.

What people think about GPT 5.4

Community discussion around GPT-5.4 has been largely positive, with the r/singularity thread receiving 176 upvotes and focusing on the model's significance as a step toward autonomous AI agents. Users in that thread highlighted the agentic capabilities and computer use features as notable developments.

A separate thread on r/ChatGPT raised questions about the rapid release cadence, with GPT-5.3 and GPT-5.4 launching only 48 hours apart, prompting discussion about OpenAI's versioning strategy and what differentiates closely spaced releases.

View more discussions →

Parameters & options

Max Temperature2
Max Response Size128,000 tokens
Reasoning EffortSelect
Default: medium
NoneLowMediumHighExtra High
ToolsTools
Web SearchAllow models to search the web for the latest information before generating a response.
Code InterpreterAllow models to write and run Python to solve problems.
mcpServersMCP Servers

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