OpenRouter: Free Models Router

Public pricingIntelligence 79/100Large memoryالرؤية

Free Models Router هو نموذج متعدد الوسائط مخصص لـفهم الرؤية واللغة. يجمع بين معالجة الإدخال متعدد الوسائط، فهم الصور وسياق بحجم 200K tokens وملف مجاني أو منخفض التكلفة لتقديم عمل موثوق في vision-language understanding and content analysis. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

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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