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o3

by OpenAI

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instru

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Models

o3

Added 10 July 2026

#openai

Overview

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Best for

Best for
Hard reasoning and verification steps in agent pipelines

Use cases

  • plan-then-act agents
  • math/logic checks
  • code verification

How to use / API access

Call via OpenRouter with model id `openai/o3`.

  • openrouter · openai/o3 Docs

OpenRouter id: openai/o3

Benchmarks

  • Intelligence Index (artificial-analysis): 20.2 index
  • Design Arena codecategories (other): 1021 elo · #120
  • Design Arena dataviz (other): 1200 elo · #59
  • Design Arena gamedev (other): 1036 elo · #113
  • Design Arena uicomponent (other): 1016 elo · #112

Enterprise DNA angle

Omni can stage o3 as a judge or planner while cheaper models do the volume work.

Notes

o3 is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Strong deliberate reasoning for hard problems
  • Good fit for planning and verification steps

Cons

  • Latency and cost higher than flash/mini models
  • Not ideal for high-volume cheap inference
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USAGE / OPENROUTER

How much o3 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
528M ▼32.7%
Requests, last 7 days
176K
Tool calls, last 7 days
11.8K
Intelligence score
20.2
Average cost per request
$1.33
Price per million tokens
$2 in · $8 out
0125M250M19 Sept: 46.9M tokens, 10.3K requests20 Sept: 59.2M tokens, 9.4K requests21 Sept: 65.2M tokens, 15.9K requests22 Sept: 114M tokens, 19K requests23 Sept: 78.4M tokens, 14.1K requests24 Sept: 80.8M tokens, 11.5K requests25 Sept: 68.5M tokens, 9.6K requests26 Sept: 183M tokens, 12.7K requests27 Sept: 124M tokens, 14.8K requests28 Sept: 74.1M tokens, 13.8K requests29 Sept: 116M tokens, 17K requests30 Sept: 133M tokens, 36.2K requests1 Oct: 122M tokens, 20K requests2 Oct: 70.9M tokens, 15.8K requests3 Oct: 54.7M tokens, 13.7K requests4 Oct: 48.5M tokens, 17.5K requests5 Oct: 75M tokens, 24K requests6 Oct: 80.1M tokens, 24.9K requests7 Oct: 132M tokens, 28.6K requests8 Oct: 135M tokens, 29.7K requests9 Oct: 88.1M tokens, 25.4K requests10 Oct: 216M tokens, 33.3K requests11 Oct: 58.4M tokens, 20.2K requests12 Oct: 90.9M tokens, 23.8K requests13 Oct: 94.5M tokens, 26.1K requests14 Oct: 65.3M tokens, 22.1K requests15 Oct: 87M tokens, 30.1K requests16 Oct: 82.5M tokens, 30.1K requests17 Oct: 45.9M tokens, 21K requests18 Oct: 61.7M tokens, 23.3K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 20.2 (2026-10-18) ↗
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