OpenAI: GPT-4.1 Mini
Analysis Summary
GPT-4.1 Mini is a compact OpenAI model with a 1,047,576-token context window and text, image, and file input. Vision, tool use, and function calling support structured workflows, while its measured coding and general reasoning capability is positioned below premium models. Its instruction-following and long-context results make it more useful for routine business tasks than its size might suggest.
For Design for Online, it fits content transformation, SEO briefs, document extraction, image-assisted workflows, and customer-support automation where predictable tool calls matter. The model is also suitable for processing large reference libraries because of its context capacity. Its weaker agentic and terminal performance means it should not lead autonomous software engineering or complex multi-step agents.
At $0.40 per million input tokens and $1.60 per million output tokens, it is well suited to volume traffic. Adopt it for cost-sensitive production workflows that benefit from multimodality and long context without requiring frontier reasoning.
Assessed August 9, 2026
Editorial notes
GPT-4.1 Mini combines a million-token context, vision, file handling, and function calling with low pricing, making it useful for high-volume content and automation; agentic reliability and coding strength are limited.
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DFO Verdict
GPT-4.1 Mini combines a million-token context, vision, file handling, and function calling with low pricing, making it useful for high-volume content and automation; agentic reliability and coding strength are limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.8 Intelligence Index·20.2 Coding Index·1.8 Agentic Index·46.3 Math Index
How OpenAI: GPT-4.1 Mini compares
OpenAI: GPT-4.1 Mini ranks #215 of 424 AI models we track for overall intelligence, #140 of 197 for coding, #154 of 179 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 43% 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 value. 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 | $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.
Full calculator with 701 models → Price Calculator
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 #140 of 197 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.
