OpenAI: GPT-5
Analysis Summary
GPT-5 is a multimodal OpenAI model with a 400K context window, vision, file input, tool use, and function calling. Its measured reasoning capability is serviceable, while coding performance is stronger than its agentic result, making it more useful for implementation tasks than for fully autonomous multi-step operations.
The model fits long-document analysis, software assistance, structured content production, and workflows that need image or file interpretation alongside text generation. Function calling supports integration into client systems, although the agentic measurements suggest that supervision remains important for complex autonomous processes. The broad context capacity is a meaningful operational advantage for codebases, briefs, and research packs.
Pricing is moderate for a capable multimodal model, but newer flagship generations should be preferred for high-stakes reasoning when their additional cost is justified.
Assessed September 7, 2026
Editorial notes
GPT-5 combines a 400K context window with vision, file handling, tool use, and function calling, making it useful for long documents and workflow automation; its reasoning index is below current flagship tiers.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5 combines a 400K context window with vision, file handling, tool use, and function calling, making it useful for long documents and workflow automation; its reasoning index is below current flagship tiers.
How OpenAI: GPT-5 compares
OpenAI: GPT-5 ranks #108 of 435 AI models we track for overall intelligence, #101 of 208 for coding, #64 of 190 for agentic tasks. Its 400K-token context window is larger than 75% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would OpenAI: GPT-5 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy..
Frequently asked questions about OpenAI: GPT-5
How much does OpenAI: GPT-5 cost?
OpenAI: GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-5?
OpenAI: GPT-5 has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5 good for coding?
On our coding benchmark index, OpenAI: GPT-5 ranks #101 of 208 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-5 do?
OpenAI: GPT-5 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5?
OpenAI: GPT-5 is developed by OpenAI and was released on August 7, 2025.