OpenAI: o3

Public pricingIntelligence 81/100Large memoryVisãoRaciocínio profundoUso de ferramentas

OpenAI: o3 é um modelo multimodal criado para programação, depuração e trabalho técnico. Ele combina o tratamento multimodal de entradas e bom desempenho em programação, um contexto de 200K tokens e um perfil custo equilibrado para entregar trabalho confiável em coding, debugging, and technical writing.

Input

$2.00/1M

Output

$8.00/1M

Cached

$0.50/1M

Batch

$1.00/1M

Calculate your o3 bill.

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What would o3 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

o3 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

Apr 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • frontiermath_tier_4

    2.08

  • gpqa_diamond

    82.7

  • humanitys_last_exam

    20.32

  • mmlu

    85.3

  • scipredict

    17.94

  • swe_bench_verified

    69.1

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

  • 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.

Alternatives

Similar models to compare.

FAQ

o3 — 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 costs roughly $470 per month. Input is $2.00 /1M tokens and output is $8.00 /1M tokens.
o3 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 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o3 was released in April 2025, with training data cut off around June 2024.
Models in a similar class include o4 Mini Deep Research, GPT-5.2, GPT-5.2-Codex. The "Similar models" section below this FAQ links into each.

Still unsure?

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