OpenAI: GPT-4.1 Mini
Analysis Summary
GPT-4.1 Mini is a compact multimodal model designed for high-throughput production use. It provides a 1M token context, image and file handling, tool and function calling, and measured coding and reasoning capability that is useful for routine development and structured automation. Its low pricing improves the economics of sustained API use.
The model is well suited to SEO briefs, content rewriting, classification, customer-support automation, document processing, and coding assistance with clear task boundaries. It can serve as a dependable routing layer, but its lower reasoning depth and modest agentic profile make it a weaker choice for open-ended autonomous agents or high-stakes analysis. Design for Online would consider it for volume client workflows with escalation paths.
Assessed September 7, 2026
Editorial notes
GPT-4.1 Mini offers a 1M token context, vision, file input, tools, and strong value, with useful coding and instruction-following measurements. It is better suited to volume workflows than difficult autonomous engineering.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4.1 Mini offers a 1M token context, vision, file input, tools, and strong value, with useful coding and instruction-following measurements. It is better suited to volume workflows than difficult autonomous engineering.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.8 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 #244 of 435 AI models we track for overall intelligence, #150 of 208 for coding, #157 of 190 for agentic tasks. Its 1M-token context window is larger than 85% of the models we list. At $0.40 per million input tokens it is cheaper than 42% 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 | $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 756 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 #150 of 208 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.