GPT-4.1 Mini Model Specs, Costs & Benchmarks (July 2026)
GPT-4.1 Mini, developed by OpenAI, features a context window of 1M tokens. The model costs $0.40 per million tokens for input and $1.60 per million tokens for output. It was released on April 14, 2025, and has achieved impressive scores in various benchmarks.
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Overview
Model Provider The organization behind this AI's development | |
Input Context Window Maximum input tokens this model can process at once | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 |
Pricing
Input Token Cost Cost per million input tokens | $0.40 per million tokens |
Output Token Cost Cost per million output tokens | $1.60 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.10 per million tokens |
Capabilities & Features
Input Types Supported input formats | imagetextfile |
Output Types Supported output formats | text |
Tokenizer Text encoding system | GPT |
Key Features Advanced capabilities | β Function Callingβ Structured Outputβ Content Moderation |
Benchmarks
Intelligence Index Overall model quality across independent evaluations | 14.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 20.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 1.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,129 Elo (#77 in Game Dev (58.5% win rate)) |
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