OptimToken
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
| Endpoint | https://optimtoken-mcp.optimnow.io/mcp (streamable-http) |
|---|---|
| Registry version | 0.4.2 |
| Now | 5 tools · grade C (74) · pin ts_b701100cefc5defb3946d5392bc5a63f · protocol 2025-06-18 |
| First / last listed | 2026-10-28 02:14 UTC / 2026-10-28 02:14 UTC |
| Grade over time | 2026-10-28: C (74), 5 tools |
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Tools: compare-llm-models estimate-llm-cost compare-models-side-by-side recommend-llm-model compare-compute-pricing
compare-llm-models | Browse and filter the whole LLM catalogue and get back a ranked table: price, quality (ELO), efficiency and capabilities. Use this when the user wants to SEE THE FIELD — 'show me models under $1/1M', 'which providers have vision models', 'list open-weight models above ELO 1300'. For a single PICK under a budget use recommend-llm-model; to weigh 2-4 NAMED models against each other use compare-model params: provider, category, openness, capability, maxInputPrice, maxOutputPrice, minElo, useCasePreset, volumePreset, limit |
estimate-llm-cost | Cost a workload with EXACT numbers the caller supplies: arbitrary token counts per request and any monthly volume, not just the 10k/100k/1m presets the other cost tools use. Use this for 'about 800 in and 200 out, 4 million calls a month', or to price one named model across every use-case profile. To compare 2-4 named models like for like at a preset volume, use compare-models-side-by-side instead params: modelName, useCasePreset, customInputTokens, customOutputTokens, monthlyVolume |
compare-models-side-by-side | Compare 2-4 named LLM models against all 8 use-case profiles at a chosen monthly volume, showing list and optimized cost for each. Use when the user names specific models to weigh against each other, rather than filtering the whole catalogue. If they also supply their own token counts, or a volume outside 10k/100k/1m, use estimate-llm-cost instead. Every name is resolved against the catalogue and params: models*, volumePreset |
recommend-llm-model | Pick a model. Returns a ranked top 3 for one workload under optional constraints, each with a per-constraint satisfied/violated breakdown as the evidence. Use this when the user wants an ANSWER rather than a table — 'what should I use for support tickets under $500 a month'. To browse or filter the whole catalogue instead, use compare-llm-models. Constraints: (monthly budget, minimum ELO, required params: useCasePreset*, volumePreset, maxMonthlyBudget, minElo, requiredCapability, openness |
compare-compute-pricing | Compare cloud compute instance pricing across AWS, Azure, GCP, DigitalOcean, OCI, OVH, and Alibaba. Filter by region, provider, vCPUs, memory, category, processor, or use case. All prices are Linux on-demand list prices in USD. Not every price column is live: `provenance.priceTypes` says which of each provider's price columns come from a live API, which are static constants, and which are unavaila params: region, provider, category, minVCPUs, maxVCPUs, minMemory, maxMemory, processor, useCase, sortBy, limit |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.