Model details
GPT-4.1 Mini sits in the middle of OpenAI's GPT-4.1 family, released on April 14, 2025 alongside the larger GPT-4.1 and the smaller GPT-4.1 Nano. The family was introduced through API-only access at launch, with the models positioned as a successor tier to GPT-4o and GPT-4o Mini, carrying forward the refreshed knowledge cutoff of June 2024. GPT-4.1 Mini is engineered to inherit the family's gains in coding and instruction following while running at a smaller scale, and it became the default fallback model for free-tier ChatGPT users starting May 14, 2025, replacing GPT-4o Mini in that role.
All three GPT-4.1 models share a 1 million token context window, and OpenAI highlights that they "outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following." Practical strengths surface in three areas: long-context comprehension, where the family is tuned to make productive use of the expanded window; instruction following, where GPT-4.1 lifted Scale MultiChallenge scores well above GPT-4o; and coding, where the family posted leading SWE-bench Verified results. GPT-4.1 Mini carries these strengths into a lighter, lower-cost profile, making it a sensible fit for production workloads that need strong reasoning and long-context handling without the full GPT-4.1 footprint.
Transparent token rates
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
LLM Gateway
On February 13, 2026, alongside the previously announced retirement of GPT‑5 (Instant, Thinking, and Pro), we will retire GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time.
Pioneer
BenchLM's model catalog page for GPT-4.1 mini (data as of September 1, 2026) reports the model was released on April 14, 2025, is a proprietary non-reasoning model with a 1M token context window, and lists API pricing at $0.40 per million input tokens and $1.60 per million output tokens. The page assigns GPT-4.1 mini a The benchmark snapshot shows GPT-4.1 mini ranking 113th of 147 in Coding (23rd percentile), with only five published benchmark rows available and several tracked slots empty, which the page flags as a reason to validate before choosing the model for production. Other capability axes such as Agentic, Reasoning, Knowledg
LLM Gateway
Compare GPT-4.1 mini vs MiniMax M1 80K: input $0.4/M vs $0.55/M, output $1.6/M vs $2.2/M tokens. GPT-4.1 mini is 27% cheaper overall. Full API cost breakdown, context window, and benchmark comparison.
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