OpenAI: GPT-4.1 Mini
Analysis Summary
OpenAI: GPT-4.1 Mini sits in the Specialist tier on our leaderboard, ranked #100 of 556 published models on overall intelligence. At $0.400 input and $1.60 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, and vision.
Editorial notes
GPT-4.1 Mini delivers a 1M token context, vision, tool use, and function calling at $0.40/$1.60 per million tokens, with strong livecodebench and agentic scores that punch above its price point.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-4.1 Mini stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $1.60 | $0.001600 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 16, 2026 8:38 pm