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- Claude Opus vs Sonnet vs Haiku: Which Should You Use?OpenRouter · toolsUse Claude Sonnet 5.5 as your default, Haiku 5.5 for high-volume and sub-agent work, and Opus 5.5 for long tasks where a mistake is costly. We compared the three on price, benchmarks, 11 coding tasks with hidden tests and a Claude Code bug fix. All three passed everything, so the difference was cost.
- How Much Does Claude Code Cost? Real Session Costs by ModelOpenRouter · toolsClaude Code is free to install, and what you pay for is the model it calls. We publish the median cost of real Claude Code sessions on OpenRouter by model and session length. This post shows those costs, why the first request costs the most, what a month of use comes to, and how to lower the bill.
- How to Extract Tables from a PDF with an LLMOpenRouter · toolsSend a PDF to a model that reads files, with a strict JSON schema for one row, and you get typed rows back, even from scans and tables that run across pages. We tested five routes on five PDFs and found two failures that return a normal response with no error, and the checks that catch them.
- Hit Your Claude Code Usage Limit? How to Keep CodingOpenRouter · toolsWhen Claude Code hits your plan's five-hour or weekly limit, you can keep working by pointing it at an OpenRouter API key. You pay per token for the same Claude models, with no usage window. This guide sets it up as a separate command, checks the cost, and switches back when your plan resets.
- Claude 529 Overloaded: What It Means and How to Fix ItOpenRouter · toolsA 529 overloaded_error from Claude means Anthropic's API is out of capacity for the model you asked for, not that your key or plan is wrong. This guide shows how to retry with backoff, send the same Claude model to another provider through OpenRouter, add a fallback model, and stop the error in Claude Code.
- Private Endpoints: Bring Your Fine-Tuned Models and Capacity to OpenRouterOpenRouter · toolsPrivate Endpoints let Enterprise customers route their own fine-tuned models and dedicated deployments through OpenRouter, alongside the public catalog. Private endpoints are only visible within your organization, and requests go through the API your team already uses. Available by request on the Enterprise plan.
- How an AI Sales Agent Saved Our Sales Team 600 Hours a MonthOpenRouter · toolsRasp gives OpenRouter's five-person sales team about 600 hours a month back, adds room for two more calls a day per rep, and runs for about $30 a day on Ori.
- ElevenLabs is now on OpenRouterOpenRouter · toolsElevenLabs is now on OpenRouter with 9 Text to Speech and 2 Speech to Text models. Deliver speech with human-like emotion with Eleven v4, give your agent low-latency replies with v4 Turbo, and turn meetings into notes that show who said what with Scribe v2. Here's which model to pick, and one project built start to finish.
- Server-Side Code Execution Tools for AI Agents, ComparedOpenRouter · toolsA server-side code execution tool runs the model's commands in the provider's sandbox during your API request, so you don't provision or secure a container. OpenAI, Anthropic, and Google run code for their own models. Our openrouter:shell tool runs commands for any model on the Responses and Messages APIs, and our openrouter:bash tool does the same on the Messages API. This article compares the fo
- Model Routing for Support Bots: Cheap-First FAQ HandlingOpenRouter · toolsCheap-first routing sends routine support questions to a small, inexpensive model and escalates selected hard or uncertain requests to a stronger one. This guide compares the three application-side routing patterns, separates what your application owns from what OpenRouter's Auto Router and model fallbacks handle, walks through a support flow with a copyable request, and sets out how to measure es
- Model Router BenchmarksOpenRouter · toolsWe now benchmark model routers side by side across six suites. Our Router Index weighs quality, speed, and cost so you can decide if you need a router and pick the best one for your needs.
- LangChain vs CrewAI: Orchestration Compared to OpenRouter-Native RoutingOpenRouter · toolsMulti-model orchestration is three layers. Workflow orchestration is planning, state, memory, and delegation, and LangGraph and CrewAI are built for it. Model routing is choosing a model per call and falling back when it fails, and provider routing is choosing which provider serves that model. OpenRouter does the second two. This article separates the layers, shows the same two-step pipeline in di
- Agent Frameworks Compared: Tool-Calling Schema HandlingOpenRouter · toolsOpenAI, Anthropic, and Google each use a different request and response shape for the same tool. Agent frameworks handle that difference in different places. Some translate one definition into each provider's format, some are native to a single provider, and some hand the question to a connector underneath. This article compares six frameworks on schema definition, translation, and MCP support, th
- How to Gate Pull Requests on LLM Evals in CIOpenRouter · toolsA one-line prompt change can ship an agent that tells customers the wrong refund window, and nothing in a normal CI pipeline checks what the model says. This guide builds a fixed eval set for a support agent, a script that exits non-zero below a measured threshold, and a GitHub Actions job that blocks the merge when the pass rate drops.
- Cost vs. Quality Tradeoff Framework for Agent ModelsOpenRouter · toolsThe cheapest model that clears your quality bar is usually not the model at the top of a leaderboard. This framework sets the bar for one task, measures cost per quality point across a cheap, a mid-tier, and a frontier model on your own examples, and picks the cheapest one that clears the bar with margin. It uses live catalog prices and the cost each OpenRouter response reports.
- Confidence Thresholds for Model Escalation RoutingOpenRouter · toolsConfidence-based escalation keeps most requests on a cheap model and sends only the ones it is unsure about to a stronger one. This guide covers forcing a numeric confidence field with structured outputs, setting the threshold from error rates on your own traffic, tuning it against accuracy, cost, and latency, routing the escalation in your code, and re-tuning it after launch.
- How to Test Tool-Calling Accuracy in AI AgentsOpenRouter · toolsAn agent can call the wrong tool, or call the right tool with the wrong arguments. This guide covers three ways to test each failure mode, a Python harness that grades both, and how to run the same test cases against several tool-capable models through OpenRouter.
- Building a Golden Eval Dataset from Production TrafficOpenRouter · toolsA golden eval dataset is a curated set of production inputs with reviewed expected outputs, versioned in Git and run before every deploy. This guide covers the five steps to build one from live traffic and how to run the same set against many candidate models through one API.
- AI Agent Regression Testing After a Prompt or Model ChangeOpenRouter · toolsAn agent's behavior can change when you edit a prompt, swap a model, change a tool schema, or change what retrieval returns. This guide covers the locked case set, the per-case behavioral contract, and how to run the same suite against two concrete model slugs through OpenRouter so the diff shows what the change did.
- Best Image-to-Video AI Models in 2026: Cost, Resolution, and ControlOpenRouter · toolsIf you already have the image a video should start from, the model choice comes down to what has to happen after that frame. We compared the 26 models in our video catalog that accept a starting frame on duration, resolution, frame control, audio, reference inputs, and price per second, then show how to submit an image-to-video job with the TypeScript SDK.
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