That's NeuralModel catalog

openai

OpenAI: o3

openai/o3

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenAI's o3 is a reasoning-focused model listed in the OpenRouter catalog as openai/o3 (canonical openai/o3-2025-04-16). According to the catalog, it accepts text, image, and file inputs, returns text, and offers a 200,000-token context window with a knowledge cutoff of June 2024. Reasoning is mandatory on this listing. The catalog describes it as strong in math, science, coding, and visual reasoning; these are vendor-reported claims, not independently verified. No independent model card was available in this source pack.[1]

Strengths

  • Catalog-reported multimodal inputs (text, image, and file) paired with a 200,000-token context window.[1]
  • Supports tool calling, structured outputs, seeded sampling, and an optional paid web-search feature, per the catalog.[1]
  • The vendor description in the catalog claims strong performance on math, science, coding, and visual reasoning tasks.[1]

Limitations

  • Reasoning cannot be disabled: the catalog marks it as mandatory, which may affect latency and cost for simple prompts.[1]
  • Evidence is catalog-only; no independent model card was available in this source pack, so validate behavior on your own workloads before adoption.[1]
  • Catalog design-arena results are mid-table rather than leading, and the listing carries an expiration date of 2026-12-11.[1]

Where to use it

  • Suggested for math, science, coding, or visual-reasoning tasks where mandatory reasoning is acceptable.[1]
  • Potentially useful for analyzing documents that mix text, images, and files within long contexts.[1]
  • Reasonable candidate for tool-calling and structured-output workflows, pending workload validation.[1]

Sources

  1. [1] OpenRouter catalog · OpenAI: o3Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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....

Specifications

Model ID
openai/o3
Canonical ID
openai/o3-2025-04-16
Creator
openai
Added to OpenRouter
16.04.2025
Context length
200,000
Modality
text+image+file->text
Input modalities
image, text, file
Output modalities
text
Token pricing
USD per 1M tokens: in $2 / out $8
Knowledge cutoff
30.06.2024
Expiration date
11.12.2026

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: mandatory · parameters: include_reasoning, reasoning
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: mandatory · parameters: include_reasoning, reasoning
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · codecategorieswin rate 51.9% · rank 1281,010EloCC — below the B band13.11.2026
Design Arenamodels · datavizwin rate 48.1% · rank 621,200EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · gamedevwin rate 56.9% · rank 1221,025EloCC — below the B band13.11.2026
Design Arenamodels · uicomponentwin rate 53.3% · rank 1211,009EloCC — below the B band13.11.2026
Design Arenamodels · websitewin rate 53.8% · rank 1291,029EloCC — below the B band13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
OpenAI200,000$2$8——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.