OpenAI

OpenAI GPT-4.1 Mini

Type
language model
Context
1,048K tokens
Max output
33K
Released
14 April 2025
API string
gpt-4.1-mini-2025-04-14

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Helicone $0.4 $1.6 31 Jul 2026
Microsoft Foundry azure/gpt-4.1-mini-2025-04-14 $0.4 $1.6 31 Jul 2026
OpenAI $0.4 $1.6 31 Jul 2026
Microsoft Foundry azure/us/gpt-4.1-mini-2025-04-14 $0.44 $1.76 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score, programming 1,367.62 1,360–1,375
Arena Score in English 1,356.59 1,351–1,362
Arena Score in French 1,355.25 1,329–1,382
Arena Score, multi-turn dialogue 1,352.8 1,345–1,360
Arena Score, hard prompts 1,348.9 1,343–1,355
Arena Score, long queries 1,343.78 1,336–1,351
Arena Score, mathematics 1,343.54 1,332–1,355
Arena Score, overall 1,340.69 1,336–1,345
Arena Score, expert questions 1,337.51 1,325–1,350
Arena Score, instruction following 1,332.24 1,326–1,339
Arena Score in Russian 1,317.29 1,306–1,329
Arena Score in Spanish 1,308.21 1,286–1,330
Arena Score, creative writing 1,300.69 1,292–1,309
Arena Score, text recognition in images 1,188.43 1,179–1,198
Arena Score, working with images 1,182.65 1,175–1,190
Arena Score, understanding diagrams 1,182.28 1,169–1,196
MATH, difficulty level five 87.29 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 54.46 % · with a tuned harness Epoch evaluations
Mock AIME 2024–2025 — olympiad problems 44.67 % · with a tuned harness Epoch evaluations
Fiction.LiveBench — holding a long context 44.4 % Fiction.live leaderboard
WeirdML — unusual machine learning tasks 37.61 % WeirdML Leaderboard
Aider Polyglot — code edits in six languages 32.4 % · with a tuned harness Aider LLM Leaderboards
CadEval — building CAD models with code 16 % CadEval Dashboard
ARC-AGI — generalising to unseen patterns 3.5 % · with a tuned harness ARC Prize Leaderboard
Chess puzzles 2.15 % Epoch evaluations
CritPt — physics problems 0 %
ARC-AGI-2 0 %