OpenRouter: Free Models Router

Public pricingIntelligence 79/100Large memoryVision

Free Models Router ist ein multimodal-Modell für Vision-Sprache-Verständnis. Es verbindet multimodale Eingabeverarbeitung und Bildverständnis, einen Kontext von 200K tokens und ein kostenlos oder kostenlos nutzbar-Profil für zuverlässige Arbeit über vision-language understanding and content analysis.

Calculate your Free Models Router bill.

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What would Free Models Router cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Free Models Router at a glance.

Memory

200,000

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

router

Released

Jan 2025

Training cutoff

—

Availability

Public pricing

Status

active

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 Free Models Router

  • Screenshot analysis, image understanding, or document OCR.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Free Models Router — 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

Free Models Router 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, Free Models Router supports understanding images. It streams replies by default.
Free Models Router was released in January 2025.
Models in a similar class include Auto Router, Gemma 4 26B A4B, Gemma 4 31B. The "Similar models" section below this FAQ links into each.

Still unsure?

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