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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