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⚙️ OpenRouter Auto (model ID: openrouter/auto)

• Launch Date: November 8, 2023
• Context Window: Up to 2 million tokens GitHub+13OpenRouter+13OpenRouter+13OpenRouter+2Medium+2OpenRouter+2
• Routing Logic: Powered by Not Diamond, choosing from dozens of top-tier models to meet prompt requirements OpenRouter+1OpenRouter+1
• Routed Models Include:
  • OpenAI GPT-4o variants (e.g. openai/gpt-4o-2024-08-06, gpt-4o-mini)
  • Anthropic Claude (e.g. claude-3.5-opus, Claude-haiku)
  • Google Gemini Pro & Flash
  • Mistral, LLaMA, Cohere Command R‑Plus, DeepSeek, Quasar Alpha, Kraken, and others https://callin.io/+10OpenRouter+10OpenRouter+10

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🧠 Key Technical Specs

1. Auto‑Routing & Fallback

• If your requested model fails or hits a rate limit, openrouter/auto automatically falls back to another model in your routing array. The fallback IDs can be defined manually using the models parameter array YouTube+10OpenRouter+10OpenRouter+10.

2. Uniform API Interface

• Uses the same OpenAI-compatible interface for every call:
  POST https://openrouter.ai/api/v1/chat/completions
• Response includes the actual model used in a model field; billing and billing rates correspond to that specific underlying model OpenRouter+1apidog+1OpenRouter+4OpenRouter+4Relevance AI+4.

3. Pricing Strategy

• You are billed at the same rate as the underlying provider’s model — OpenRouter does not markup inference pricing (though a 5–5.5% fee applies when buying credits or using BYOK) OpenRouter+5OpenRouter+5OpenRouter+5.
• Example models and providers are exposed in the /models endpoint for runtime pricing evaluation apidog+9OpenRouter+9OpenRouter+9.

4. Unified Response Schema

• Full JSON metadata returned includes:
  • usage (token usage)
  • model (actual model used)
  • choices array with completion
  • Optional: structured_outputs, tool call fields, etc. OpenRouter+2OpenRouter+2OpenRouter+2OpenRouter+1OpenRouter+1

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📊 Spec Summary Table

Feature	Details
Model ID	openrouter/auto
Routing Engine	Not Diamond—auto‑routes to optimal model per request
Context Window	~2 million tokens
Candidate Models	GPT‑4o (OpenAI), Claude, Gemini Pro, Mistral, LLaMA, Quasar, DeepSeek, etc.
Billing	Incur cost based on whichever model served the request, with OpenRouter credit fee
Fallback Support	Handled via models parameter syntax
Response Metadata	Includes real model name, token usage, and unified ChatCompletion format

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🛠️ When to Use OpenRouter Auto

• ✅ If you want best-effort quality and latency, without manually switching models.
• ✅ If you need high availability and uptime fallback, with no single point of failure.
• ✅ If you want cost efficiency by letting OpenRouter select cheaper models when appropriate.
• ✅ For building user‑facing AI chat that seamlessly upgrades to higher‑capability models when needed.

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🔧 Example API Request (Python / OpenAI SDK Compatible)

pythonCopyEditfrom openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key="YOUR_KEY")
completion = client.chat.completions.create(
  model="openrouter/auto",
  messages=[{"role": "user", "content": "Explain quantum mechanics simply"}],
  temperature=0.7
)
print(completion)

The response will indicate which underlying model served the request and return usage stats. Relevance AI+2OpenRouter+2Medium+2Medium+13OpenRouter+13OpenRouter+13OpenRouterOpenRouterhttps://callin.io/

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⚠️ Developer Tips:

• Use usage: { include: true } to report token usage in the API response.
• If you prefer cost-optimized routing, append the :floor variant (e.g., openrouter/auto:floor) to prioritize cheaper providers.
• To prioritize speed and throughput, use :nitro.
• You can also mix specific models into a fallback chain manually with the models array for deterministic routing overrides. OpenRouter+2OpenRouter+2OpenRouter+2OpenRouter

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