OpenRouter + OpenClaw: How to Access 200+ Models from One Config

ByL.B. Kaelin

OpenRouter + OpenClaw: How to Access 200+ Models from One Config

Managing multiple AI provider accounts is a pain. One API key for Anthropic, another for OpenAI, another for Google, another for DeepSeek. Each has its own billing dashboard, its own rate limits, its own API quirks. For anyone running an OpenClaw agent, this friction adds up fast.

OpenRouter solves this. It is a unified API gateway that gives you access to more than 200 models from every major provider using a single API key and a single endpoint. This guide walks through exactly how to set it up with OpenClaw, what it costs compared to going direct, and which models are worth your attention in April 2026.

What OpenRouter Is and How It Works with OpenClaw

OpenRouter is a model aggregator. It sits between your application and the underlying AI providers, handling authentication, request routing, and billing across Anthropic, OpenAI, DeepSeek, Google, Meta, Mistral, and dozens of others. You send requests to https://openrouter.ai/api/v1 with one API key, and OpenRouter forwards them to whichever model you specify.

OpenClaw integrates with OpenRouter through its standard OpenAI-compatible API support. OpenClaw already knows how to talk to OpenAI’s API format, and OpenRouter speaks that same format. This means you don’t need any plugins, custom code, or special configuration beyond pointing OpenClaw at OpenRouter’s endpoint.

For anyone running OpenClaw who wants flexibility across models without managing six provider accounts, this is the fastest path to a multi-model setup.

Setting Up OpenRouter: Getting Your API Key

Getting started with OpenRouter takes about two minutes:

  1. Go to openrouter.ai and click Sign In. You can authenticate with a Google or GitHub account.
  2. Once logged in, navigate to the Keys section from your account menu.
  3. Click Create Key. Give it a name like “openclaw” so you can identify it later.
  4. Copy the key and store it somewhere secure. OpenRouter only shows it once on creation.

That is it. You now have access to more than 200 models from a single key. No separate sign-ups with Anthropic, OpenAI, Google, or anyone else. OpenRouter handles the provider authentication on the backend.

The free tier gives you limited credits to start, enough to experiment with most models. When you need more, add credits to your account. OpenRouter charges per token, similar to the providers themselves, with a modest markup.

Configuring openclaw.json for OpenRouter

The configuration is straightforward. OpenClaw uses an openclaw.json file for all its settings. To connect to OpenRouter, you set the baseUrl to OpenRouter’s API endpoint and provide your OpenRouter API key.

Here is a minimal configuration:

{
  "agents": {
    "defaults": {
      "model": "google/gemini-2.0-flash",
      "baseUrl": "https://openrouter.ai/api/v1",
      "apiKey": "sk-or-v1-your-key-here"
    }
  }
}

The key detail is the model field. When using OpenRouter, the model identifier follows the format provider/model-name. For example:

  • anthropic/claude-sonnet-4-6
  • deepseek/deepseek-chat
  • google/gemini-2.0-flash
  • mistralai/mistral-large
  • meta-llama/llama-3.3-70b-instruct
  • openai/gpt-4o

You can also use the openrouter/ prefix explicitly (e.g., openrouter/google/gemini-2.0-flash), but it is not required when the base URL is already set to OpenRouter.

If you want different agents using different models, configure each agent separately in openclaw.json:

{
  "agents": {
    "defaults": {
      "baseUrl": "https://openrouter.ai/api/v1",
      "apiKey": "sk-or-v1-your-key-here"
    },
    "my-coding-agent": {
      "model": "qwen/qwen3-72b-instruct"
    },
    "my-writing-agent": {
      "model": "mistralai/mistral-large"
    },
    "my-fast-agent": {
      "model": "google/gemini-2.0-flash"
    }
  }
}

OpenClaw sends requests to OpenRouter, OpenRouter routes them to the right provider, and the response comes back through the same connection. The only difference from a direct API setup is the URL and the key.

OpenRouter Pricing vs. Direct Provider APIs: The Tradeoff

OpenRouter adds a markup on top of what the underlying providers charge. In most cases this is 5-10% over direct pricing, though some models show wider variance. The table below compares prices for popular models in April 2026:

Model Direct Price (per MTok input) OpenRouter Price (per MTok input) Markup
DeepSeek V3 $0.14 ~$0.27 ~93%
Gemini 2.0 Flash $0.10 ~$0.11 ~10%
Claude Sonnet 4-6 $3.00 ~$3.15 ~5%
GPT-4o $2.50 ~$2.75 ~10%
Mistral Large $2.00 ~$2.10 ~5%
Llama 3.3 70B $0.59 ~$0.65 ~10%

Note: Prices are approximate and change frequently. DeepSeek V3’s larger OpenRouter markup is partly due to routing overhead and demand patterns. Always check current pricing on the OpenRouter models page.

When is the markup worth it?

  • You switch models frequently and don’t want multiple billing relationships.
  • You need fallback routing for reliability.
  • You want to experiment with models from providers you haven’t signed up with yet.
  • You value having all usage data in one dashboard.

When is direct better?

  • You only use one or two models from the same provider.
  • You have high volume and the markup adds up to significant money.
  • You need the lowest possible latency and want to eliminate one network hop.
  • You require direct provider SLAs or enterprise contracts.

For most OpenClaw users running personal agents or small projects, the convenience tradeoff is worth the 5-10% premium. For production deployments at scale, direct APIs plus OpenRouter as a fallback is the smarter architecture.

5 Reasons to Use OpenRouter Instead of Direct APIs

1. Single API Key for All Models

One key replaces accounts with Anthropic, OpenAI, Google, DeepSeek, Mistral, Meta, and everyone else. No juggling multiple dashboards, no tracking which key belongs to which provider.

2. Fallback Routing

If a model is down or rate-limited, OpenRouter can automatically route to a fallback model you specify. This keeps your agents running even when a provider has an outage. Configure fallbacks in your OpenRouter dashboard and your OpenClaw agents never stop.

3. Free Tier for Experimentation

New to OpenClaw? Not sure which model works best for your use case? OpenRouter’s free tier gives you credits to test models before committing. Try Gemini 2.0 Flash for speed, Qwen3 72B for coding, Mistral Large for analysis — all without creating accounts at each provider.

4. Usage Analytics Dashboard

OpenRouter logs every request with model, tokens used, cost, latency, and status. The analytics dashboard shows you exactly what each agent is spending. This alone can save money by revealing which tasks are using expensive models when a cheaper one would work.

5. Access to Models Not Available Directly

Some models are only accessible through aggregators like OpenRouter. This includes certain open-source fine-tunes, community models, and experimental releases that don’t have their own API infrastructure. OpenRouter becomes your gateway to the long tail of the model ecosystem.

Best Models to Try via OpenRouter (April 2026)

With 200+ models available, choosing where to start can be overwhelming. Here are the standouts by use case:

Fast and Cheap: Gemini 2.0 Flash

Google’s Gemini 2.0 Flash is the best price-to-performance ratio on OpenRouter. It is fast, cheap, and supports a large context window. Use it for summarization, classification, quick research, and any task where latency matters more than depth. Identifier: google/gemini-2.0-flash.

Strong Coding: Qwen3 72B

Alibaba’s Qwen3 72B has emerged as a serious coding model. It competes with much larger models on code generation and debugging while running at a fraction of the cost. Identifier: qwen/qwen3-72b-instruct.

European Privacy Compliance: Mistral Large

Mistral Large is headquartered in France and operates under European data regulations. For anyone with GDPR requirements or a preference for European AI infrastructure, this is the go-to model. Identifier: mistralai/mistral-large.

Capable Open-Source: Llama 3.3 70B

Meta’s Llama 3.3 70B remains one of the most capable open-weight models. It handles complex instruction following, analysis, and multi-step reasoning well. Identifier: meta-llama/llama-3.3-70b-instruct.

Creative Tasks: WizardLM-2

For writing, brainstorming, and creative work, WizardLM-2 often produces more varied and interesting outputs than the larger frontier models. Identifier: microsoft/wizardlm-2.

Model Identifiers: How to Find the Right Name for Any Model

The most common mistake with OpenRouter + OpenClaw is using the wrong model identifier. OpenRouter does not use the same names as the providers. Each model has an OpenRouter-specific identifier that you must use in your openclaw.json configuration.

To find the right identifier for any model:

  1. Go to the OpenRouter models page.
  2. Search for the model you want.
  3. Click on the model to see its detail page.
  4. The identifier is shown at the top, usually in the format provider/model-name.

Common patterns to recognize:

  • Anthropic models: anthropic/claude-sonnet-4-6, anthropic/claude-sonnet-4-5
  • OpenAI models: openai/gpt-4o, openai/gpt-4o-mini, openai/o3-mini
  • Google models: google/gemini-2.0-flash, google/gemini-2.5-pro-preview
  • DeepSeek models: deepseek/deepseek-chat, deepseek/deepseek-reasoner
  • Meta models: meta-llama/llama-3.3-70b-instruct, meta-llama/llama-4-70b
  • Mistral models: mistralai/mistral-large, mistralai/mistral-small
  • Qwen models: qwen/qwen3-72b-instruct, qwen/qwen3-32b

Always check the OpenRouter models page directly before adding a model to your configuration. Model names change when providers release updates, and OpenRouter adds new models regularly.

Rate Limits and Free Tier: What You Get Without Paying

OpenRouter’s free tier gives you a starting credit balance to test the service. The free tier has per-model rate limits that are more restrictive than paid access:

  • Free tier: Typically limited to 10-20 requests per minute per model, with lower token caps per request. Good for experimentation and light usage.
  • Paid tier: Rate limits scale with your credit balance. Higher balances unlock higher per-minute limits. OpenRouter still respects the underlying provider’s rate limits, so very high throughput may still require going direct.

If you are running an OpenClaw agent that makes frequent calls, you will want to add credits. The paid tier is pay-as-you-go with no monthly commitment. Credits do not expire, and you can set spending limits to avoid surprises.

One practical tip: use free tier to evaluate models, then switch to paid when you commit to a configuration. The friction of adding credits is low, and the difference in rate limits is noticeable once your agent runs more than a few dozen conversations per day.

OpenRouter + Model Routing: The Advanced Setup

OpenClaw’s model routing feature pairs naturally with OpenRouter. Instead of configuring a single model, you can set up routing rules that send different tasks to different models through the same OpenRouter endpoint.

The basic idea is straightforward: define routing rules in openclaw.json that map task types or agent roles to specific OpenRouter model identifiers. All requests go through the same OpenRouter base URL and API key, but different agents or tasks use different models optimized for their purpose.

Example routing configuration:

{
  "agents": {
    "defaults": {
      "baseUrl": "https://openrouter.ai/api/v1",
      "apiKey": "sk-or-v1-your-key-here",
      "model": "google/gemini-2.0-flash"
    },
    "routes": {
      "coding": {
        "model": "qwen/qwen3-72b-instruct"
      },
      "creative-writing": {
        "model": "microsoft/wizardlm-2"
      },
      "analysis": {
        "model": "anthropic/claude-sonnet-4-6"
      }
    }
  }
}

This gives you a fast default model for quick responses, a coding-specialized model for development tasks, a creative model for content generation, and a frontier model for deep analysis. Each routes through OpenRouter with zero additional configuration.

Combine this with OpenRouter’s fallback routing for resilience. You can set up OpenRouter to fall back to a secondary model if your primary choice is rate-limited or unavailable. The result is a multi-model OpenClaw setup that is resilient, cost-optimized, and manageable from a single configuration file.

For a deeper look at model routing strategies, read our guide on OpenClaw model routing for different LLMs and tasks. And if cost optimization is your priority, the DeepSeek + OpenClaw cheapest configuration guide shows how to run agents for cents per day.

Sources

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