OpenRouter: Auto Router

Public pricingIntelligence 79/100Huge memory视觉

Auto Router 是一款音频模型,适合视觉语言理解。它结合了多模态输入处理、图像理解、1M+ tokens上下文和低成本定位,可在audio understanding and multimodal input中提供可靠表现。它适合重视准确性、上下文与控制的团队,能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

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What would Auto Router cost you?

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1,00010,00050,000250,0001M10M

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.

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.

Still unsure?

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