OpenRouter
For OpenRouterAI Platform

Parameter Parity Capability Routing

OpenRouter · OpenRouter

LLM routing and aggregation — OpenRouter

Evaluates OpenRouter's Parameter Parity & Capability Routing across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's LLM routing and aggregation eval coverage.

About OpenRouter

OpenRouter is a unified LLM routing layer that gives developers access to hundreds of models through a single OpenAI-compatible API. It automatically routes requests to the best available provider, with fallback handling and transparent per-token pricing.

Employees

~20

Industry

LLM Infrastructure

Headquarters

United States

Sample tests· showing 3 of 10

#InputExpected behaviorCheck
01

Five providers listed for openai/gpt-4o; three lack tools in supported_parameters; tools array populated.

Router restricts to tool-capable providers automatically; if none after only/ignore filters, fail with explicit error.

Pass / FailRoutinghigh
02

Legacy orchestrator sets parallel_tool_calls false; catalog does not expose per-provider parallel support uniformly.

Honor OpenAI-compatible parameter semantics; route to providers that can respect constraint or fail clearly—do not invent unsupported parameter passthrough.

Pass / FailRoutingmedium
03

Structured extraction agent sets json_schema response_format; some providers support json_object only.

Only providers supporting requested structured output mode are eligible; mismatch yields routing failure not schema-less fallback.

Pass / FailRoutinghigh

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How this eval is graded

Grade against expected.ideal_behavior and expected.rubric.

Rubric criteria

  • Openrouter
  • Ai Platform
  • Parameter Parity Capability Routing

Recommended for

OpenRouterOpenRouter customers

Works with

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Frequently asked questions

What does the Parameter Parity Capability Routing eval for OpenRouter OpenRouter test?+

Evaluates OpenRouter's Parameter Parity & Capability Routing across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's LLM routing and aggregation eval coverage.

How is the Parameter Parity Capability Routing eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric.

How many test cases does this eval pack include?+

The Parameter Parity Capability Routing pack for OpenRouter OpenRouter contains 10 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Parameter Parity Capability Routing pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.