OpenAI: o3

Public pricingIntelligence 81/100Large memoryVisionRéflexion approfondieOutils

OpenAI: o3 est un modèle multimodal conçu pour codage, débogage et travail technique. Il associe la gestion multimodale des entrées et de bonnes performances en codage, un contexte de 200K tokens et un profil à coût équilibré pour un travail fiable sur 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.

Set your workload — see cost at your exact volume.

What would o3 cost you?

Adjust the workload to see your monthly bill.

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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