Models · Reasoning
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.
Our verdict
We have not reviewed o3 yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About o3
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
Hard reasoning and verification steps in agent pipelines
Use cases
- plan-then-act agents
- math/logic checks
- code verification
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
Key facts
What we have checked
- Input price
- $2.00 per million tokens
- Output price
- $8.00 per million tokens
- Latest version
- openai/o3-2025-04-16
- Time to first token (ms)
- 7,490
- Output speed (tokens a second)
- 152.1
- Tokens served on OpenRouter in a day
- 110M (for 10 Nov 2026)
- Tool calls on OpenRouter in a day
- 1.3K (for 10 Nov 2026)
- Artificial Analysis Intelligence Index
- 20.2
- LMArena text rating (Elo)
- 1,410
- Gpqa diamond
- 81.8% (for 16 Apr 2025)
- Swe bench verified
- 62.3% (for 16 Apr 2025)
- Frontiermath tiers 1 3 v2 private
- 33.3% (for 16 Apr 2025)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
Call via OpenRouter with model id `openai/o3`.
- openrouter ·
openai/o3· Docs
OpenRouter id: openai/o3
Price
What o3 costs, over time
$2.00 to $2.00
$8.00 to $8.00
Usage
How much o3 is used
46.9M to 110M
Scores
How o3 scores
Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.
| Score | Value | Source | Checked |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 20.2indexAs of 26 Oct 2026 | Artificial Analysis via OpenRouter | |
| LMArena text rating (Elo) | 1,410EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| LMArena vision rating (Elo) | 1,214EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| Design Arena rating (Elo) | 1,200EloAs of 10 Nov 2026 | Design Arena via OpenRouter | |
| Aider polyglot (best-across-versions) | 81.3percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Arc agi (best-across-versions) | 60.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Arc agi 2 (best-across-versions) | 6.5percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Cadeval (best-across-versions) | 74percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Chess puzzles (best-across-versions) | 37percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Cl bench (best-across-versions) | 17.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Deepresearch bench (best-across-versions) | 45.2percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Dtbench (best-across-versions) | 84.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) |
Show 20 more scores
| Score | Value | Source | Checked |
|---|---|---|---|
| Fiction livebench (best-across-versions) | 88.9percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Frontiermath 2025 02 28 private (best-across-versions) | 18.7percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Frontiermath tier 4 2025 07 01 private (best-across-versions) | 2.1percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Frontiermath tiers 1 3 v2 private (best-across-versions) | 33.3percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Gdpval (best-across-versions) | 30.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Geobench (best-across-versions) | 74percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Gpqa diamond (best-across-versions) | 81.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Gso bench (best-across-versions) | 8.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Lech mazur writing (best-across-versions) | 83.9percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Lmca (best-across-versions) | 39.7percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Math level 5 (best-across-versions) | 97.8percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Metr time horizons (best-across-versions) | 65.4percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Mystery game puzzles (best-across-versions) | 29percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Osworld (best-across-versions) | 23percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Otis mock aime 2024 2025 (best-across-versions)Saturated | 84.4percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Simplebench (best-across-versions) | 53.1percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Simpleqa verified (best-across-versions) | 49.4percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Swe bench verified (best-across-versions) | 62.3percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Vpct (best-across-versions) | 52percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) | |
| Weirdml (best-across-versions) | 52.4percentAs of 16 Apr 2025 | Epoch AI (CC BY 4.0) |
- Saturated
- Top models score close to the maximum, so this test no longer separates them.
Sources
Where this comes from
- OpenRouter models APIRegistry
- OpenRouter models APIOfficial
- LMArena (CC-BY-4.0), published 2026-11-09Third party
- Artificial AnalysisThird party
- Artificial Analysis via OpenRouterThird party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Deprecated
OpenRouter lists the route openai/o3 to expire on 11 Dec 2026.
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
- 755M ▲4.2%
- Requests, last 7 days
- 226K
- Tool calls, last 7 days
- 31.4K
- People's vote
- 1410
- Average cost per request
- 84.1¢
- Price per million tokens
- $2 in · $8 out
MODEL FIELD GUIDE / SOURCE EVIDENCE
What you can do with o3.
Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-11. Hosting routes and app features can differ.
openai/o3- Tool calling
- Listed support
- Structured output
- Listed support
- Reasoning controls
- Listed support
- Availability
- available
- Price basis
- token
- Licence verification
- Check the developer licence; the model name is insufficient
- Context length
- 200K tokens
- Knowledge cutoff
- 30 Jun 2024
- Developer release date
- Not established
- First seen in the catalogue
- 16 Apr 2025
- Listed retirement date
- 11 Dec 2026
Inspect the sources and their scope
openai/o3: listed route capabilities, availability and prices; provider endpoints can differ.
Checked 2026-11-11Source for reasoning controls, first seen, tool calling, context length, retirement date, input, knowledge cutoff, output, structured output.
Checked 2026-11-11FROM 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.
What would it cost?
Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.
Enter a whole number of runs from 1 to 100,000,000.
Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 10 Nov 2026, from OpenRouter models API. 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.
Design Arena: 1200 (2026-11-09) ↗Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.