Find the cheapest AI model that actually works on your task

Describe your task and add a few examples. OpenMark runs it on 100+ models with real API calls, scores every answer the same way, and ranks them by accuracy, cost, speed and stability. Then watch it: when new models ship, we re-test your task and tell you if one beats your pick.

50 free creditsNo credit cardNo API keys needed

In the app

Benchmark your task

Describe the task, add a few examples, and run it on 100+ models side by side. No provider keys.

Start free
From your coding agent

Cursor, Claude Code, Codex

The MCP server lets your agent write the test from the prompt in your code, run it, and pick the cheapest model that passes.

Set up the MCP server
Model Watch

Never re-check by hand

Watch a finished benchmark. When new models ship, we re-test your task and email you only if one beats your pick.

How Watch works

Same score, very different bill

Every month we run three hard benchmarks on 16 current models. Here is what October 2026 showed:

Logical reasoning 11 models tied at 100%

Same score, but GPT-5.6 Luna cost $0.0020 per run and Gemini 3.1 Pro (high effort) $0.146: 73x more.

Run this test yourself
SQL generation 9 models tied at 100%

Same score, but Gemini 3.1 Flash-Lite cost $0.0014 per run and Gemini 3.1 Pro $0.134: 92x more.

Run this test yourself
Translation 11 models tied at 100%

Same score, but GPT-5.6 Luna cost $0.0010 per run and Gemini 3.1 Pro (high effort) $0.101: 102x more.

Run this test yourself

A generic leaderboard can't tell these models apart. Your task, with your data and your edge cases, usually can. See the full tables

How it works

1

Describe the task

Write what the model should do, or give the drafting agent a one-line description and let it write the test cases and scoring rules for you.

2

Pick the models

GPT, Claude, Gemini, Grok, DeepSeek, Qwen, Mistral and more, all through one account. No provider keys, no setup.

3

Read the ranking, then watch it

Score, cost per run, latency and stability across repeated passes, side by side. Click Watch and we re-test the task whenever new models ship, then email you only if one beats your pick.

Results you can trust

Deterministic scoring

Exact-match, pattern and structure checks. No LLM judge and no crowd voting, so the same answer always gets the same score.

Real API costs

Measured from the tokens each model actually used on your task, not estimated from list prices.

Stability, not one lucky run

Each model answers your tests more than once (twice by default, up to five times), so you can see which ones are consistent and which ones only got it right once.

Your tasks stay private

Benchmarks are only visible to you. Results are shared only if you create a public link yourself.

Popular tasks to benchmark

Each guide shows current results and a ready-made test you can run in one click. Or start from your own task.

Pricing

Credits pay for the real model calls your benchmarks make. Start free, top up when you need more.

Free

$0

50 credits to start. Test every model except the top-priced flagships, with up to 5 test cases per task, and watch one task for better models.

Credit packs

from $5 one-off

No subscription. Any pack unlocks flagship models and keeps your workspace for a year.

Pro and Expert

$19 / $59 per month

1,650 or 6,000 credits a month, 10 or 30 watched tasks, more test cases per task and faster parallel runs.

Rather have us do it? We run a done-for-you model audit on your real workload and hand you the switch plan.

FAQ

Do I need my own API keys?

No. OpenMark makes every API call for you across OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Qwen and more. You only need one OpenMark account.

How is this different from public leaderboards?

Public leaderboards rank models on generic tests. On a well-specified task most current models score about the same, so what decides is cost, speed and how each model handles your data and edge cases. OpenMark tests that directly.

What does a benchmark cost?

It depends on the models and the size of the task. Credits follow what each model actually costs to run, with the same markup on every model, and are only deducted for the tokens the models use. A typical six-model comparison takes about 35 credits; flagships cost the most.

Do I have to re-test when new models come out?

No. Click Watch on a finished benchmark. When new models ship or prices drop, we re-test your task on up to four of them, next to your current pick, and email you only if one beats it. A check uses credits at the normal rate, and only runs when there is something new to test. Free accounts can watch one task. The changelog lists every model and price change.

Stop guessing which model to pay for

Your first benchmark takes a few minutes and costs nothing.

Benchmark your task free

Get the monthly model change report

New models, API price changes, and retirements, straight from the registry that powers OpenMark. One email a month.