Choose the right benchmark for your task (no invented scores).
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Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The LLM Benchmark Explorer is a free page for comparing model scores on standard evaluations such as MMLU, HumanEval and GSM8K. These benchmarks measure knowledge, coding ability and mathematical reasoning, giving a rough map of where each model is strong. Developers and technical buyers use them to shortlist candidates before testing on real tasks. No sign-up is required, and scores should be treated as one input among several.
MMLU samples knowledge across many subjects, HumanEval tests code generation against unit tests, and GSM8K checks grade-school maths word problems. High scores suggest broad competence in those areas, but they do not measure instruction following, tool use, latency or cost.
Yes. Training data can include benchmark questions, and prompt formats affect results. Providers may also report best-case configurations. Treat public scores as directional, check whether an independent evaluator reproduced them, and run your own tests with the prompts your product actually sends.
Compare cost per million tokens, context window, latency, rate limits, licence and data terms, then run a small blind test on real tasks. Plugsky offers 30+ models behind one OpenAI-compatible API so you can evaluate several without separate integrations.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs