Auto Router✓ Catalog verified
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit Activity, or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our docs. Requests will be routed to the following models: - anthropic/claude-haiku-4.5 - anthropic/claude-opus-4.6 - anthropic/claude-sonnet-4.5 - anthropic/claude-sonnet-4.6 - deepseek/deepseek-r1 - google/gemini-2.5-flash-lite - google/gemini-3-flash-preview - google/gemini-3-pro-preview - google/gemini-3.1-pro-preview - meta-llama/llama-3.3-70b-instruct - minimax/minimax-m2.5 - mistralai/codestral-2508 - mistralai/mistral-7b-instruct-v0.1 - mistralai/mistral-large - mistralai/mistral-medium-3.1 - mistralai/mistral-small-3.2-24b-instruct-2506 - moonshotai/kimi-k2-thinking - moonshotai/kimi-k2.5 - openai/gpt-5 - openai/gpt-5-mini - openai/gpt-5-nano - openai/gpt-5.1 - openai/gpt-5.2 - openai/gpt-5.2-pro - openai/gpt-5.3-chat - openai/gpt-oss-120b - perplexity/sonar - qwen/qwen3-235b-a22b - x-ai/grok-3 - x-ai/grok-3-mini - x-ai/grok-4 - x-ai/grok-4.1-fast - z-ai/glm-5
Overview
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit Activity, or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our docs. Requests will be routed to the following models: - anthropic/claude-haiku-4.5 - anthropic/claude-opus-4.6 - anthropic/claude-sonnet-4.5 - anthropic/claude-sonnet-4.6 - deepseek/deepseek-r1 - google/gemini-2.5-flash-lite - google/gemini-3-flash-preview - google/gemini-3-pro-preview - google/gemini-3.1-pro-preview - meta-llama/llama-3.3-70b-instruct - minimax/minimax-m2.5 - mistralai/codestral-2508 - mistralai/mistral-7b-instruct-v0.1 - mistralai/mistral-large - mistralai/mistral-medium-3.1 - mistralai/mistral-small-3.2-24b-instruct-2506 - moonshotai/kimi-k2-thinking - moonshotai/kimi-k2.5 - openai/gpt-5 - openai/gpt-5-mini - openai/gpt-5-nano - openai/gpt-5.1 - openai/gpt-5.2 - openai/gpt-5.2-pro - openai/gpt-5.3-chat - openai/gpt-oss-120b - perplexity/sonar - qwen/qwen3-235b-a22b - x-ai/grok-3 - x-ai/grok-3-mini - x-ai/grok-4 - x-ai/grok-4.1-fast - z-ai/glm-5
Access: available through the official Openrouter API. Context window: 2M.
Specifications
| API identifier | openrouter/auto |
| Provider | Openrouter |
| Model type | Multimodal LLM |
| Context window | 2M catalog |
| Input modalities | text · image · audio · file · video |
| Output modalities | text · image |
| Released | Nov 8, 2023 |
| Tokenizer | Router |
| Moderated | No |
| Architecture modality | text+image+file+audio+video->text+image |
API defaults
{
"top_p": null,
"temperature": null,
"frequency_penalty": null
}Pricing
Live pricing components for openrouter/auto as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $-1 | $-1000000.00 / 1M | Per input token |
| Completion tokens | $-1 | $-1000000.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$-700,000Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | ✓ Supported | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Auto Router through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="openrouter/auto",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| xAI: Grok 4 Fast | X Ai | 2M | $0.20 | View → |
| xAI: Grok 4.1 Fast | X Ai | 2M | $0.20 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Auto Router cost?
$-1000000.00 per 1M input tokens and $-1000000.00 per 1M output tokens on the official Openrouter API.
What is the context window of Auto Router?
Auto Router supports up to 2M tokens of context.
Does Auto Router support tool / function calling?
Yes, Auto Router supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Auto Router?
Use the official Openrouter API with the model id `openrouter/auto`. See the Quick start section above for code examples.