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OpenMark

by openmark.ai in AI models & inference

MCP serverPassing, checked 1 h ago

Benchmark your own prompt on 100+ LLMs with real API calls; pick the cheapest model that passes.

https://openmark.ai/mcp
Tools
9
open to any client
Uptime
100%
last 30 days
Response time
192 ms
425 ms slowest 5%
Last check
Passed
1 h ago, next in 4 h

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Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "openmark": {
      "type": "http",
      "url": "https://openmark.ai/mcp"
    }
  }
}

9 tools

  • get_task_format

    How to write an OpenMark task: the YAML structure, all 18 scoring modes, and tips. Call this before writing a task. Pass a topic for the full detail on one subject (the app's Task Guide): fields, scoring, composite, chaining, documents, examples, best_practices, or a scoring…

  • validate_task

    Check a task YAML the way OpenMark will before running it: structure, scoring settings, and the test limit of the user's plan. Free, saves nothing. Returns the problems to fix and warnings worth a look.

  • list_models

    Current OpenMark model ids with list prices ($ per 1M tokens), as text and as a structured list. Use these ids in run_benchmark. Append @low, @medium or @high to a reasoning model id to set its reasoning effort.

  • prepare_attachments

    Get an upload_uid and a one-hour upload link (no API key needed) for images, PDFs or text documents, with the exact curl command. Upload the files, reference them by file name in each test's attachments list, then pass the upload_uid to estimate_cost / run_benchmark.

  • estimate_cost

    Credits a run_benchmark call would use, before spending anything: the expected total, the split per model, the balance needed to start, the worst case, and the user's balance. Same inputs and run settings as run_benchmark. Use it to drop an expensive model, or to compare…

  • run_benchmark

    Save a task (YAML, see get_task_format) to the user's OpenMark account and run it on the given models with real API calls. Returns a job_id and the expected cost; poll get_results. Spends the user's credits; pass max_credits to only start within a budget. Optional run settings…

  • get_results

    Status of a benchmark job, and once completed the ranked results (score, stability, cost per run, latency), the tests each model missed with its answer, a recommendation for the chosen objective and quick picks for the others.

  • get_account

    The user's plan, credit balance and limits, and what a credit pack, Pro or Expert would unlock. Use it before large runs, or when a run is refused for credits or limits.

  • watch_task

    Watch the task of a completed job: when new or cheaper models ship, OpenMark re-tests up to 4 of them next to the user's pick and emails the user only when one beats it. Each check uses the user's credits at the normal rate.

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

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