Analysis Summary
GPT-4.1 Mini is a multimodal OpenAI model supporting text, image, and file input, tool use, and function calling. Its 1,047,576-token context window enables large document and codebase workflows, while the listed price of $0.20 per million input tokens and $0.80 per million output tokens supports high-volume deployment. This batch entry has no benchmark results, so quality should be validated on representative tasks.
It suits SEO production, content transformation, structured extraction, internal knowledge assistants, and lower-cost coding workflows. The combination of long context and API actions is particularly useful when routine calls need access to extensive source material. It may require a stronger model for subtle strategy, difficult reasoning, or premium creative work.
Use it as a volume workhorse for multimodal and document-heavy workflows where cost efficiency matters.
Assessed August 9, 2026
Editorial notes
GPT-4.1 Mini provides a 1M token context window, vision, file input, tool use, and function calling at $0.20 per million input tokens. It is a strong volume candidate, with no benchmark data supplied for this variant.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4.1 Mini provides a 1M token context window, vision, file input, tool use, and function calling at $0.20 per million input tokens. It is a strong volume candidate, with no benchmark data supplied for this variant.
How OpenAI: GPT-4.1 Mini (batch) compares
Its 1M-token context window is larger than 87% of the models we list. At $0.20 per million input tokens it is cheaper than 57% 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 | $0.20 | $0.000200 |
| Output | $0.80 | $0.000800 |
What would OpenAI: GPT-4.1 Mini (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
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 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4.1 Mini (batch)
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..
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Frequently asked questions about OpenAI: GPT-4.1 Mini (batch)
How much does OpenAI: GPT-4.1 Mini (batch) cost?
OpenAI: GPT-4.1 Mini (batch) costs $0.20 per million input tokens and $0.80 per million output tokens.
What is the context window of OpenAI: GPT-4.1 Mini (batch)?
OpenAI: GPT-4.1 Mini (batch) has a context window of 1,047,576 tokens (1M).
What can OpenAI: GPT-4.1 Mini (batch) do?
OpenAI: GPT-4.1 Mini (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 Mini (batch)?
OpenAI: GPT-4.1 Mini (batch) is developed by OpenAI and was released on April 14, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 13, 2026 8:38 pm