OpenAI: GPT-4.1 Mini
Analysis Summary
OpenAI's GPT-4.1 Mini handles text, images, and files, supports tool use and function calling, and provides a context window of roughly one million tokens. The supplied results show useful coding, math, and long-context performance, although its intelligence and coding indices remain below top-tier levels. Listed prices are $0.40 input and $1.60 output per million tokens.
This balance suits routine coding assistance, document-heavy workflows, multimodal extraction, and structured automation where cost per call matters. Tool support makes it a practical option for bounded agent tasks, but teams should still validate actions and responses, particularly for complex reasoning or sensitive client-facing outputs. The available benchmarks do not position it as a premium model for the hardest work.
GPT-4.1 Mini is a reasonable volume-tier candidate for teams that need broad modality and a large context at lower rates. Reserve more demanding work for stronger models.
Assessed September 23, 2026
Editorial notes
GPT-4.1 Mini pairs vision, file inputs, tool and function calling, and a 1M-token context with strong value; its measured reasoning and coding remain below current flagship levels.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-4.1 Mini pairs vision, file inputs, tool and function calling, and a 1M-token context with strong value; its measured reasoning and coding remain below current flagship levels.
Benchmarks
Artificial Analysis data refreshed Oct 12, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How OpenAI: GPT-4.1 Mini compares
OpenAI: GPT-4.1 Mini ranks #218 of 436 AI models we track for overall intelligence, #136 of 198 for coding, #137 of 181 for agentic tasks. Its 1M-token context window is larger than 87% of the models we list. At $0.40 per million input tokens it is cheaper than 38% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $1.60 | $0.001600 |
What would OpenAI: GPT-4.1 Mini 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-4.1 Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard..
Frequently asked questions about OpenAI: GPT-4.1 Mini
How much does OpenAI: GPT-4.1 Mini cost?
OpenAI: GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens.
What is the context window of OpenAI: GPT-4.1 Mini?
OpenAI: GPT-4.1 Mini has a context window of 1,047,576 tokens (1M).
Is OpenAI: GPT-4.1 Mini good for coding?
On our coding benchmark index, OpenAI: GPT-4.1 Mini ranks #136 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4.1 Mini do?
OpenAI: GPT-4.1 Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 Mini?
OpenAI: GPT-4.1 Mini is developed by OpenAI and was released on April 14, 2025.