OpenAI: GPT-5.1
Analysis Summary
OpenAI GPT-5.1 is a broad production model with strong measured reasoning and coding capability. Its 400,000-token context window, vision and file input, tool use, and function calling support demanding software, analysis, and content workflows. The combination makes it more flexible than a narrowly specialised model, while the agentic measurements indicate room below the strongest autonomous systems.
It suits software engineering, structured document analysis, multimodal review, and customer-facing generation where consistent instruction handling matters. Teams can use one model across coding, content, and workflow orchestration, reducing integration complexity. For highly autonomous agents, additional guardrails and evaluation remain appropriate.
Pricing is competitive for a premium general model, especially when long context reduces document preparation overhead. It is a strong default for varied client workloads that need breadth, reliable APIs, and substantial context.
Assessed August 9, 2026
Editorial notes
GPT-5.1 combines strong reasoning and coding capability with a 400K context window, vision, file handling, and function calling. It is a versatile production choice for engineering and client workflows, though its agentic result is less advanced than newer flagship systems.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.1 combines strong reasoning and coding capability with a 400K context window, vision, file handling, and function calling. It is a versatile production choice for engineering and client workflows, though its agentic result is less advanced than newer flagship systems.
How OpenAI: GPT-5.1 compares
OpenAI: GPT-5.1 ranks #77 of 420 AI models we track for overall intelligence, #62 of 193 for coding, #78 of 175 for agentic tasks. Its 400K-token context window is larger than 78% 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 technical 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-5.1 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.1
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning..
Frequently asked questions about OpenAI: GPT-5.1
How much does OpenAI: GPT-5.1 cost?
OpenAI: GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-5.1?
OpenAI: GPT-5.1 has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5.1 good for coding?
On our coding benchmark index, OpenAI: GPT-5.1 ranks #62 of 193 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-5.1 do?
OpenAI: GPT-5.1 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.1?
OpenAI: GPT-5.1 is developed by OpenAI and was released on November 13, 2025.
