GPT-5 Pro
GPT-5 Pro is OpenAI's extended-reasoning tier of the GPT-5 family, a chat model with a 400K token context window that accepts both text and image input.
API Pricing
Cheapest on OpenAI — 33% below avg| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $7.50 | $60.00 | |
| $7.50 | $60.00 | |
| $15.00 | $120.00 | |
| $15.00 | $120.00 |
Prices updated daily. Last check: Sep 1, 2026
GPT-5 Pro pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Model Details
General
- Creator
- OpenAI
- Family
- GPT-5
- Context Window
- 400K
- Knowledge Cutoff
- Sep 2024
- Modalities
- Text, Image
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- 400,000 token context window, enough for large codebases, long document sets, or extended conversation histories in a single request
- Accepts image input alongside text, so screenshots, diagrams, charts, and scanned documents can be reasoned over directly
- Pro tier applies additional reasoning effort per request, aimed at problems where a first-pass answer is often wrong
- Part of the GPT-5 family, so prompts and integrations can be moved between Pro and lighter GPT-5 tiers with minimal rework
- Documented knowledge cutoff of September 30, 2024, which makes it clear when retrieval or context injection is required
- Suits an escalation pattern where a cheaper model handles routine turns and Pro handles the difficult minority
Limitations
- Higher per-request cost than lighter GPT-5 tiers, which makes it a poor fit for high-volume routine traffic
- Extra reasoning effort increases latency, so it is not well suited to interactive or real-time interfaces
- Proprietary — served through APIs rather than as downloadable weights
- Knowledge cutoff of September 30, 2024 means recent events and library versions must be supplied in context
- Filling the 400K context window raises cost and response time substantially; long context is available but not free
Key Features
About GPT-5 Pro
Common Use Cases
GPT-5 Pro is aimed at workloads where answer quality matters more than throughput or latency. Typical fits include hard software engineering tasks such as tracing a bug across a large codebase, planning a refactor, or reviewing a design under many constraints; multi-step analytical work in finance, science, or operations where an intermediate mistake invalidates the result; and synthesis over long source material — contracts, filings, research papers, or documentation sets — where the 400K context window lets the whole corpus sit in one request. Image input extends this to visual material: reading charts in a report, interpreting an architecture diagram, or debugging from a UI screenshot. It is also commonly used as a verification or escalation layer, checking output from cheaper models before it reaches a user. For high-volume classification, extraction, routing, or chat that must respond instantly, a lighter GPT-5 tier is generally the more appropriate choice.
Frequently Asked Questions
How much does GPT-5 Pro cost?
Pricing varies by provider and by pricing type — input tokens, output tokens, cached input, and batch or long-context surcharges are often billed differently. Because rates change frequently, check the pricing table on this page for current figures rather than relying on a quoted number.
What is GPT-5 Pro best used for?
Problems that reward deliberation: complex debugging and refactoring, multi-step quantitative reasoning, synthesis across long documents, and verification of output from cheaper models. Its 400K context window and image input make it suitable for tasks that mix large text corpora with visual material.
How does GPT-5 Pro differ from other GPT-5 tiers?
Pro is the extended-reasoning tier of the GPT-5 family, spending more compute per request than the lighter variants. That generally means better handling of hard, multi-step problems but higher cost and slower responses, so many teams route routine traffic to a smaller GPT-5 model and escalate only difficult cases to Pro.
Can GPT-5 Pro process images?
Yes. It accepts text and image input, so screenshots, charts, diagrams, and scanned pages can be included in a prompt alongside text.
How current is GPT-5 Pro's knowledge?
Its training knowledge extends to September 30, 2024. For anything after that date — recent news, new library releases, updated APIs — supply the information in the prompt or connect the model to a retrieval or search step.
Is the 400K context window usable in full?
The model supports up to 400,000 tokens of context, but filling it increases both cost and response time. Retrieval or chunking is often more economical than loading an entire corpus, and the full window is best reserved for tasks that genuinely require global visibility across the material.