Openrouter

@openrouter list all available models and show me which ones support function calling under $0.50 per million tokens

I found 23 models matching your criteria. Here are the top options: Anthropic's Claude 3.5 Haiku ($0.25/1M tokens, supports function calling), Google's Gemini 1.5 Flash ($0.075/1M tokens, supports function calling), and Meta's Llama 3.1 8B ($0.055/1M tokens, supports function calling). Each model includes context length (ranging from 8K to 200K tokens), latency estimates, and provider-specific features. Would you like detailed endpoint information for any of these models?

This example shows how the MCP helps teams compare model options across providers before committing to a specific API. Requires valid API key authentication. Pricing and availability change frequently — always verify current rates before production use.

@openrouter create a chat completion using Claude 3.5 Sonnet to summarize the last 5 messages in this Space, then tell me how many tokens that cost

I've generated a summary using Claude 3.5 Sonnet (anthropic/claude-3.5-sonnet). The model identified three main discussion threads: API integration strategy, rate limit handling, and error logging patterns. The completion used 847 input tokens and 203 output tokens, costing approximately $0.0126. Generation ID: gen_abc123xyz. Latency was 2.3 seconds. Your current account balance is $47.82 remaining.

This demonstrates the MCP's ability to route requests through OpenRouter's unified API while tracking usage. The generation ID allows you to retrieve detailed metadata later. Be aware that costs accumulate across the team — consider setting up usage alerts in your OpenRouter dashboard.

@openrouter check my current credit balance and estimate how many Claude Opus calls I can make with 2000 input tokens each

Your current OpenRouter credit balance is $47.82. Based on Claude Opus pricing ($15/1M input tokens, $75/1M output tokens), you can make approximately 1,594 calls with 2000 input tokens each, assuming an average output of 500 tokens per response. This estimate accounts for $0.03 per call ($0.03 input + $0.0375 output). Actual costs vary based on response length. Consider switching to Claude 3.5 Sonnet ($3/1M input tokens) to extend your budget 5x.

This example shows how the MCP helps teams manage API spend across multiple model providers. The cost calculation is illustrative — actual token counts depend on conversation context and model behavior. OpenRouter's credit system pools usage across all team members with the same API key.

When Openrouter beats vendor lock-in for rapid testing

A 5-person product team building a conversational feature needs to test Claude, GPT-4, and Gemini side-by-side before committing to one vendor. Openrouter wins here because the Create Chat Completion tool routes to any model through a single API key—no juggling three separate accounts or billing setups. The List Available Models and OpenRouter List Model Endpoints tools let the team compare pricing and context windows in real time during sprint planning. The Get Credits tool keeps burn rate visible so the PM can cap spend at $200/month while the team runs A/B tests. If your team already standardized on one vendor or needs sub-50ms latency guarantees, direct vendor APIs are simpler. But for teams in the discovery phase who need model flexibility without infrastructure overhead, Openrouter is the fastest path from hypothesis to production.

How Openrouter routes support queries to cheaper models first

A 12-person SaaS support team handles 400 tickets a week, half of which are FAQ-tier questions that don't need frontier models. Openrouter's routing logic lets them send simple queries to Llama or Mistral (pennies per call) and escalate complex cases to GPT-4o only when needed. The Get Generation tool logs token counts and cost per ticket, so the ops lead can prove ROI to finance—last quarter they cut LLM spend by 60% while maintaining CSAT. The Create Completion tool handles both workflows through one integration, so engineers don't maintain separate pipelines for cheap-vs-smart routing. If your ticket volume is under 50/week or your queries are uniformly complex, a single-vendor setup is less cognitive load. But for teams with bimodal support complexity and a CFO watching AI line items, Openrouter turns model selection into a cost lever instead of a vendor commitment.

When Openrouter simplifies client billing and model choice

A solo developer building AI features for three different clients needs each client to use their preferred model (one wants Claude for legal work, another wants GPT-4 for creative, a third wants the cheapest option). Openrouter's single API key and per-request model selection mean the dev writes one integration and routes by client ID at runtime—no managing three vendor accounts or reconciling three invoices. The Get Credits tool lets the dev monitor burn rate across all clients from one dashboard, and the OpenRouter List Providers tool helps pitch new clients on model options without vendor research. If you're building for one client with fixed requirements, a direct vendor integration is cleaner. But for freelancers or agencies juggling multiple clients with different model preferences and budgets, Openrouter collapses three billing relationships into one and keeps the codebase DRY.