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description=Compare AI model pricing and performance. Benchmark 100+ LLMs including GPT, Claude, Gemini on your actual task. Deterministic scoring, real API costs.;
keywords=compare AI models, AI model comparison tool, benchmark LLMs, LLM benchmark, AI benchmarks, AI model pricing, LLM testing platform, best AI models, AI performance benchmark, model comparison tool, AI model cost comparison, LLM evaluation, custom AI benchmark;

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sorting 0 0 models low accuracy across all models often means the tasks prompts and expected outputs need refinement not necessarily that the models failed open the task in the editor to review and adjust them feeling lost we can run the audit for you send your task we ll design the test benchmark it on openmark and send back a model recommendation in 48h see audit options dismiss model provider score stability temp pricing cost time acc acc min avg out compl select a task from the rail then run a benchmark to see results here manage storage storage usage tasks with attachments scoring yaml guide benchmarking running job progress 0 0 completed 0 total 0 errors 0s elapsed models activity log waiting for benchmark to start stop benchmark close view results billing history back loading wallet buy credits plans loading credit packs transaction history loading transactions install openmark get quick access from your home screen install install openmark tap share add to home screen openmark ai lda terms of service privacy policy contact why benchmark audit service share results generating preview 𝕏 in clicking a social button auto copies the image just paste help quick start why benchmark editor benchmark results limits caching router contact new here watch the 90 second demo from task to ranked results sound on openmark helps you evaluate ai models with custom benchmarks here s the flow 1 editor create your task describe what you want to test generate test cases save 2 benchmark run your tests select models to compare configure settings start benchmark 3 results analyze export compare scores costs and speed export or share your findings quick benchmark want to skip the steps use the quick benchmark button in the editor to describe your task auto select models and launch all in one click click a result row to see detailed model responses great for refining your prompts stop guessing know your use case is unique an ai model s ranking on popular leaderboards tells you little about how it ll handle your specific needs the only way to know is to test your actual use case monitor model drift ai providers update models silently a model that worked perfectly last month might behave differently today regular benchmarking catches drift before it becomes a production issue newer better when a shiny new model drops don t assume it s an upgrade for your task new models often excel in some areas while regressing in others test before you switch right model for the job premium reasoning models shine on complex tasks but simpler models often win on straightforward ones at a fraction of the cost don t pay for capability you don t need validate your prompts if your prompt works consistently across multiple models it s probably well crafted if it fails on most you ve found a fragility to fix prepare fallbacks rate limits downtime api errors they happen know your backup options before your primary goes down switch instantly instead of scrambling deterministic testing unlike subjective which response feels better voting systems or llm as judge evaluations openmark uses deterministic scoring modes you define objective and reproducible regular benchmarking turns guesswork into data driven decisions terminology task a benchmark definition appears in task rail test an individual test case within a task one task can contain multiple tests editor modes create benchmark tasks using one of three modes simple ai assisted task creation describe what you want to test in plain language the ai agent generates test cases expected answers and scoring configuration for you validation runs automatically after generation advanced form based control build tests using structured forms add prompts expected answers attachments and scoring modes for each test validation runs automatically after generation manual direct yaml editing write or paste yaml directly full control over every field use validate preflight to check syntax and token counts before saving attachments add files to your tests via drag drop or the attachment button supports images pdfs documents and spreadsheets see the attachment tooltip ⓘ for current format and size limits task management right click any task in the task rail to rename edit description or delete click a saved task to load it for editing preflight the preflight section below task preview shows token counts for each test task guide complete yaml schema and scoring mode docs find it in the editor tab quick benchmark in simple mode use the quick benchmark button to describe a task auto generate tests auto select models and start benchmarking all in one go ️ important you must save your task before you can benchmark it generated tasks appear in the task preview click save to add them to your task rail collapse the task rail for more editor space especially in manual mode model selection choose which models to include in your benchmark filters filter by capability vision tools or pricing tier very low to very high click provider icons to show hide all models from that provider ℹ️ model details right click any model chip and select view details to see pricing context window capabilities and latency information smart pick automatically selects 8 models across providers and pricing tiers for a balanced comparison adapts to your task if vision is needed only vision capable models are picked re select previous quickly re select the same models you ve previously benchmarked for the active task configuration choose a preset for quick setup or adjust individual settings below stability runs run each test multiple times to measure consistency higher values give more reliable stability scores prompt caching is enabled for supported providers max tokens maximum response length set based on expected answer length to control costs find optimal temperature automatically test different temperature values to find the best setting for your task temperature preference low more deterministic vs high more creative use low for factual tasks high for creative ones timeout profile how long to wait for responses snappy for quick tasks patient for complex prompts or busy servers fail fast stop processing a model if it hits repeated errors 4xx 5xx disable to diagnose failures or capture partial results running benchmarks click start benchmark to begin if a benchmark is already running the button becomes queue benchmark jobs appear in the job queue and run in order queue limits vary by plan credit cost estimate a credit range is shown above the start button this is a conservative estimate actual costs are typically much lower since most models return concise answers well under the maximum token limit you ll see the real cost in the completion notification click on any job in the job queue to jump directly to its results note models are evaluated on their training knowledge only no internet access is enabled this ensures fair reproducible comparisons and models are run with each provider s default reasoning effort unless otherwise specified the acc metric normalizes for cost differences making it a useful proxy for compute efficiency even when reasoning effort varies across providers results table each row shows one model s performance key columns score overall accuracy points earned total points higher is better stability consistency across runs 0 000 is perfectly stable lower variance is better rec temp temperature used highlighted if discovered via temperature optimization cost average cost per stability run asterisk calculated from actual token usage time median time per stability run useful for real time use case decisions acc acc min efficiency metrics accuracy per dollar cost efficiency and per minute speed efficiency avg out average output tokens per run for reasoning models may include thinking tokens completion percentage of tests completed without errors model details drawer click any result row to open the details drawer showing performance summary score stability temperature used efficiency metrics cost time acc acc min token usage input output tokens per run test results pass fail for each test with model responses click individual tests to see the exact prompt sent and the model s response invaluable for refining your prompts export share use export to download results csv and json include detailed per test data txt provides a summary table use share to generate a shareable image choosing your model the default sort order prioritizes accuracy then cost efficiency acc then speed acc min click any column header to re sort based on your priorities collapse the task rail for a wider results table view your current limits limits vary by subscription tier here are your current limits loading limits file upload limits loading file limits how prompt caching works when you run stability runs multiple iterations of the same test openmark enables prompt caching when supported by providers cost savings cached prompts cost significantly less up to 75 savings on some providers faster responses cached prompts process faster since the input is pre tokenized caching is automatic no configuration needed the cost shown in results reflects actual usage including cache benefits openmark model router an open source plugin for openclaw that routes your prompts to the best ai model for each task based on your real benchmark data not heuristics quick start benchmark your recurring tasks here on openmark 100 models export click export openclaw on the results tab install openclaw plugins install openmark router import place csvs in the benchmarks directory or use the local dashboard the router classifies each message picks the best benchmarked model plus fallbacks and the routed model answers all in a single turn local dashboard access http 127 0 0 1 2098 dashboard to view router health manage benchmarks and change routing strategy learn more github clawhub contact support have a question feature request or need billing assistance we d love to hear from you ️ email us at support openmark ai we re happy to help with general questions about the platform feature requests and suggestions bug reports billing and account inquiries welcome to openmark stop guessing which ai model to use describe your task test it against 100 models get scored results in minutes 90s demo watch how it works from your task to ranked results sound on 10 000 benchmarks run by developers and teams worldwide find the best model see which one actually gets your task right compare real costs know what each api call actually costs check consistency will it perform the same way every time no api keys no code no setup get started free terms of service effective date january 15 2026 1 introduction and company information welcome to openmark the service an ai model benchmarking platform operated by openmark ai lda nif vat 519 147 766 lisbon portugal email support openmark ai by accessing or using the service you agree to be bound by these terms of service terms 2 service description openmark provides an ai model benchmarking platform that enables users to create and manage evaluation tasks for ai language models run benchmarks across multiple ai models from various providers compare performance metrics and results store and analyze benchmark results the service acts as an intermediary sending user defined prompts to third party ai model providers and returning their responses for evaluation 3 account registration 3 1 eligibility you must be at least 18 years old or the age of legal majority in your jurisdiction to use this service 3 2 account creation accounts are created through the available authentication methods you are responsible for maintaining the security of your account credentials 3 3 account accuracy you agree to provide accurate and complete information during registration 3 4 one account per person each user may maintain only one account creating multiple accounts to circumvent limits or abuse the service is prohibited 4 acceptable use policy you agree not to use the service to generate illegal content including content that violates any applicable laws or regulations create harmful content including content promoting violence harassment discrimination or hate speech produce nsfw adult content sexually explicit material pornography or obscene content facilitate fraud phishing scams deceptive practices or identity theft infringe intellectual property violating copyrights trademarks or other proprietary rights spread misinformation generating deliberately false or misleading content maliciously exploit ai vulnerabilities using discovered weaknesses to cause harm outside the benchmarking context test stolen credentials using the service for card testing or payment fraud abuse rate limits automated attacks scraping or excessive api calls reverse engineer attempting to extract proprietary algorithms or systems violation of this acceptable use policy may result in immediate account termination without refund 5 subscription plans and credits 5 1 tiers the service offers multiple subscription tiers free pro expert with varying limits on tasks storage and features 5 2 credits benchmarking operations consume credits credits come in two forms monthly credits included with subscriptions reset each billing cycle do not carry over purchased credits bought via credit packs never expire used after monthly credits are exhausted 5 3 pricing current pricing is displayed at the point of purchase prices may be subject to applicable taxes vat sales tax based on your location 5 4 price changes we reserve the right to modify pricing with 30 days notice to active subscribers 6 payment terms 6 1 payment processing all payments are processed securely through our payment providers we do not store your full payment card information on our servers 6 2 subscription billing subscriptions are billed in advance on a recurring basis monthly or annually your subscription will automatically renew unless cancelled before the renewal date 6 3 failed payments if a payment fails we will attempt to retry if all retry attempts fail your subscription may be cancelled 6 4 taxes depending on your location vat gst or sales tax may be added at checkout you are responsible for any applicable taxes 7 refund policy 7 1 digital services as a digital service refunds are generally not provided once credits have been consumed or services have been used 7 2 eu consumer rights eu consumers have a 14 day withdrawal right for digital content however by using the service immediately upon purchase you acknowledge that you waive this right once credits are consumed or benchmark runs are executed 7 3 service errors if you experience a technical error that causes credit loss through no fault of your own please contact us at support openmark ai we will review and may issue a credit refund at our discretion 7 4 chargebacks if you believe there has been an error please contact us before initiating a chargeback we are committed to resolving disputes fairly an...