ExpertPal tools · LLM
Pick the model the work actually needs.
Don't burn frontier-model credits on work that doesn't need them.
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We're still collecting current prices and benchmark data. Check back shortly.
03 / Background
Why this exists
New models appear constantly. Prices change. Caching rules change.
The cheapest model isn't really cheap if you need five attempts to get the job done. And the strongest model isn't automatically worth paying for either.
We keep a small list of models we trust, track their current prices, and help you pick the one that makes sense for the work.
04 / Method
How we decide
We combine current API prices with our assessment of which models are strong enough for different kinds of work. That assessment is calculated from public benchmark data, weighted by what matters for each task. Cost comparisons use the same representative workload across models. These ratings are practical judgments, not scientific benchmarks. No AI model chooses the recommendation.
| Task | Input tokens | Cached input tokens | Output tokens |
|---|---|---|---|
| Serious coding | 100,000 | 400,000 | 30,000 |
| Routine coding | 40,000 | 100,000 | 10,000 |
| Complex reasoning | 40,000 | 10,000 | 20,000 |
| Research | 100,000 | 50,000 | 20,000 |
| Writing / everyday work | 20,000 | 5,000 | 8,000 |
| Simple / bulk work | 100,000 | 0 | 10,000 |