Aitoolsfi
OpenAI vs OpenAI

GPT 5.4 vs GPT 5.4 Pro

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

GPT 5.4
Mar 05, 2026 1050K context 128,000 tokens output
Overview ↓ Pricing ↓ Capabilities ↓ Benchmarks ↓ Community ↓ Verdict ↓ FAQ ↓ Related ↓

Overview Comparison

Structured side-by-side differences for the highest-signal model metadata.

GPT 5.4
GPT 5.4 Pro

Provider

The entity that currently provides this model.

GPT 5.4 OpenAI
GPT 5.4 Pro OpenAI

Model ID

The routed model identifier exposed by upstream providers.

GPT 5.4 openai/gpt-5.4
GPT 5.4 Pro openai/gpt-5.4-pro

Input Context Window

The number of tokens supported by the input context window.

GPT 5.4 1050K tokens
GPT 5.4 Pro 1050K tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

GPT 5.4 128,000 tokens tokens
GPT 5.4 Pro 128,000 tokens tokens

Open Source

Whether the model's code is available for public use.

GPT 5.4 No
GPT 5.4 Pro No

Release Date

When the model was first released.

GPT 5.4 Mar 05, 2026
GPT 5.4 Pro Mar 05, 2026

Knowledge Cut-off Date

When the model's knowledge was last updated.

GPT 5.4 March 2026
GPT 5.4 Pro March 2026

API Providers

The providers that currently expose the model through an API.

GPT 5.4
OpenRouter
GPT 5.4 Pro
OpenRouter

Modalities

Types of data each model can process or return.

GPT 5.4
Text Image File
GPT 5.4 Pro
Text Image File Code

Pricing Comparison

Compare current token pricing before you choose the cheaper or more scalable API option.

GPT 5.4 OpenAI
Input price $2.50 Per 1M tokens
Output price $15.00 Per 1M tokens
GPT 5.4 Pro OpenAI
Input price $30.00 Per 1M tokens
Output price $180.00 Per 1M tokens

Capabilities Comparison

See where each model overlaps, where they differ, and which one supports more of the features you care about.

Capability
GPT 5.4
GPT 5.4 Pro
1M Token Context Supports a context window of up to 1 million tokens, enabling processing of extensive documents, large codebases, and long multi-turn sessions in a single request.
GPT 5.4 Supported
GPT 5.4 Pro —
Advanced Math & Science Has demonstrated the ability to engage with open research-level mathematics problems, including an EpochAI Frontier Math problem noted in community discussion.
GPT 5.4 —
GPT 5.4 Pro Supported
Agentic Workflows Executes multi-step tasks autonomously using built-in computer use capabilities, including tool orchestration, file access, and data extraction with minimal human oversight.
GPT 5.4 Supported
GPT 5.4 Pro Supported
Artifact Generation Produces structured professional outputs including documents, spreadsheets, slide decks, financial models, and legal analyses in a single session.
GPT 5.4 Supported
GPT 5.4 Pro —
Code Generation Generates, reviews, and debugs code across common programming languages, with support for developer workflows within the full 1M token context.
GPT 5.4 Supported
GPT 5.4 Pro —
Deep Analytical Reasoning The Pro variant uses multi-path reasoning evaluation to provide greater analytical depth for research, legal analysis, and complex decision-making tasks.
GPT 5.4 Supported
GPT 5.4 Pro —
Document & Artifact Generation Produces structured outputs including documents, spreadsheets, slide decks, financial models, and legal analyses in a single generation pass.
GPT 5.4 —
GPT 5.4 Pro Supported
Extended Reasoning The Thinking variant applies enhanced logical follow-through across long, complex interactions, maintaining consistency over extended reasoning chains.
GPT 5.4 Supported
GPT 5.4 Pro —
File
GPT 5.4 Supported
GPT 5.4 Pro Supported
Image
GPT 5.4 Supported
GPT 5.4 Pro Supported
Long Context Processing Handles up to 1 million tokens in a single session, allowing entire codebases, legal documents, or research corpora to be processed without truncation.
GPT 5.4 —
GPT 5.4 Pro Supported
Multi-Path Reasoning Evaluates multiple reasoning paths before producing a response, a technique specific to the Pro variant designed for analytical depth in complex scenarios.
GPT 5.4 —
GPT 5.4 Pro Supported
Reasoning
GPT 5.4 Supported
GPT 5.4 Pro Supported
Reduced Hallucination Rate Generates 33% fewer factual errors in individual claims compared to GPT-5.2, based on OpenAI's reported benchmarks at launch.
GPT 5.4 —
GPT 5.4 Pro Supported
Reduced Hallucinations Delivers 33% fewer factual errors in individual claims compared to GPT-5.2, according to OpenAI's internal benchmarks.
GPT 5.4 Supported
GPT 5.4 Pro —
Structured Output
GPT 5.4 Supported
GPT 5.4 Pro Supported
Text
GPT 5.4 Supported
GPT 5.4 Pro Supported
Token-Efficient Inference Solves problems using fewer tokens than its predecessor GPT-5.2, reducing latency and cost for high-volume production workloads.
GPT 5.4 —
GPT 5.4 Pro Supported
Token-Efficient Output Solves problems using fewer tokens than its predecessor, reducing latency and cost for high-volume production workloads.
GPT 5.4 Supported
GPT 5.4 Pro —
Tools
GPT 5.4 Supported
GPT 5.4 Pro Supported

Benchmark Comparison

Shared benchmark rows make it easier to compare performance where both models have published scores.

Benchmark GPT 5.4 GPT 5.4 Pro
ARC-AGI-2
Novel abstract reasoning and pattern recognition
GPT 5.4 73.3%
GPT 5.4 Pro 83.3%
BrowseComp
Complex web browsing and information retrieval
GPT 5.4 82.7%
GPT 5.4 Pro N/A
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
GPT 5.4 92.0%
GPT 5.4 Pro N/A
HLE
Questions that challenge frontier models across many domains
GPT 5.4 41.6%
GPT 5.4 Pro N/A
OSWorld-Verified
Autonomous computer use and desktop tasks
GPT 5.4 75.0%
GPT 5.4 Pro N/A
SciCode
Scientific research coding and numerical methods
GPT 5.4 56.6%
GPT 5.4 Pro N/A
SWE-bench Pro
Challenging real-world software engineering tasks
GPT 5.4 57.7%
GPT 5.4 Pro N/A
Terminal-Bench 2.0
Agentic coding and terminal command tasks
GPT 5.4 75.1%
GPT 5.4 Pro N/A
Community discussion

What Reddit discussions say about GPT 5.4 vs GPT 5.4 Pro

GPT 5.4 and GPT 5.4 Pro are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.

The most visible threads right now are clustered in r/singularity, r/OpenAI, r/codex. 2 threads are showing up in both models' discussion sets, which is useful for side-by-side evaluation.

GPT 5.4 + GPT 5.4 Pro r/ChatGPT 13,105 upvotes 912 comments April 26, 2026
ChatGPT 5.4 Solved a 64-Year-Old Math Problem

Just came across something interesting and wanted to see what people here think

apparently a 23-year-old used ChatGPT 5.4 Pro to solve one of the Erdős problems that had been open for around 60 years. what’s surprising is that it was done in basically one go, and the model took about 1 hour 20 minutes to work through it

from what I understood, the solution used a known formula that just hadn’t been applied to this specific problem before, which is kind of fascinating if true.

not sure how verified this is yet, but the chat is public if anyone wants to take a look:

https://chatgpt.com/share/69dd1c83-b164-8385-bf2e-8533e9baba9c

Problem:

https://www.erdosproblems.com/1176

X post:

https://x.com/i/status/2048421286091604187

Open Reddit thread
GPT 5.4 r/singularity 2,548 upvotes 465 comments April 27, 2026
Chat GPT 5.4 solved a 60+ years unsolved erdos problems in a single shot

For years, the AI/ LLM critics had the same reasoning: LLMs don't reason and they just predict the next token

Recently, it reasoned better than 50 years of mathematicians on an open erdos problems by applying a basic phd level formula

Chat gpt conversation: https://chatgpt.com/share/69dd1c83-b164-8385-bf2e-8533e9baba9c

Here is the problem where TAO also commented on it: https://www.erdosproblems.com/1196

Thoughts?

Open Reddit thread
GPT 5.4 r/ChatGPT 1,224 upvotes 63 comments March 23, 2026
GPT 5.4 thinking model

I thought it was mildly funny, GPT slightly changed its stance after I asked about sources regarding a translation nuance but still pretty much stood its ground. Of course it's a complete delusion, i guess the reward function makes it try to come up with an anwser even if it lacks context.

Always make sure to double check the facts.

Open Reddit thread
View more discussions →

Which model should you choose?

Use the summary below to decide which model better fits your workflow, budget, and feature requirements.

Best fit for

GPT 5.4

GPT 5.4 is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

Best fit for

GPT 5.4 Pro

GPT 5.4 Pro is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

Verdict

Choose GPT 5.4 if you prioritize long-context workloads, reasoning-heavy tasks, tool-augmented workflows. Choose GPT 5.4 Pro if your workflow depends more on long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

FAQ

Common questions about GPT 5.4 vs GPT 5.4 Pro

What is the main difference between GPT 5.4 and GPT 5.4 Pro?

GPT 5.4 leans toward long-context workloads, reasoning-heavy tasks, tool-augmented workflows, while GPT 5.4 Pro is better suited to long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

Which model is cheaper: GPT 5.4 or GPT 5.4 Pro?

GPT 5.4 starts lower on input pricing at $2.5000 per 1M input tokens, compared with $30.0000 for GPT 5.4 Pro.

Which model has the larger context window: GPT 5.4 or GPT 5.4 Pro?

GPT 5.4 is listed with a context window of 1050K, while GPT 5.4 Pro is listed with 1050K.

How should I evaluate GPT 5.4 vs GPT 5.4 Pro for my use case?

This comparison currently includes 8 shared benchmark rows, helping you compare practical performance across overlapping evaluations.