OpenAI: o3 Mini High

Public pricingIntelligence 79/100Large memory视觉深度思考工具调用

OpenAI: o3 Mini High 是一款多模态模型,适合多模态推理与分析。它结合了多模态输入处理、深度推理与规划、200K tokens上下文和均衡成本定位,可在多模态推理与分析中提供可靠表现。它适合重视延迟、成本与吞吐的团队,能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$1.10/1M

Output

$4.40/1M

Cached

$0.55/1M

Batch

$0.55/1M

Calculate your o3 Mini High bill.

Set your workload — see cost at your exact volume.

What would o3 Mini High cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

o3 Mini High at a glance.

Memory

200,000

tokens

Max reply

100,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Jan 2025

Training cutoff

Oct 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    77
  • livecodebench

    74
  • mmlu

    79.1

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick o3 Mini High

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

FAQ

o3 Mini High — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, o3 Mini High costs roughly $259 per month. Input is $1.10 /1M tokens and output is $4.40 /1M tokens.
o3 Mini High has a 200,000-token context window (large memory — an entire book or large codebase). That means you can fit about 37,500 words of input and history in a single call.
Beyond text generation, o3 Mini High supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o3 Mini High was released in January 2025, with training data cut off around October 2023.
Models in a similar class include o3 Mini, o4 Mini, o4 Mini High. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare o3 Mini High against 100+ other models.

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