OpenRouter: Auto Router

Public pricingIntelligence 79/100Huge memoryविज़न

Auto Router एक ऑडियो मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 1M+ tokens का context और कम लागत profile जोड़कर audio understanding and multimodal input में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब सटीकता, context और नियंत्रण महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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What would Auto Router cost you?

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Technical specifications

Auto Router at a glance.

Memory

2,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

router

Released

Jun 2024

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 Auto 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

Auto 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

Auto Router has a 2,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 375,000 words of input and history in a single call.
Beyond text generation, Auto Router supports understanding images. It streams replies by default.
Auto Router was released in June 2024.
Models in a similar class include Free Models Router, Gemma 4 26B A4B, Gemma 4 31B. The "Similar models" section below this FAQ links into each.

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