AzYun vs TokenPricing
AzYun vs TokenPricing: score breakdown
TokenPricing scores 70/100 against 52/100 for AzYun, an 18-point gap. AzYun is ahead on Delivery (11 vs 5); TokenPricing is ahead on Capability (18 vs 15), Ease of use (22 vs 14) and Value (25 vs 12). Each sub-score is out of 25.
Features and platforms
| Feature | AzYun | TokenPricing |
|---|---|---|
| Pricing model | Free | Free |
| Free plan | Yes | Yes |
| Platforms | Web, API | Web |
| Best for | Dev teams managing multiple LLM provider keys and costs in one place | Developers comparing LLM API costs across many providers before choosing or switching models. |
| Skip if | Solo developers using a single model provider who gain nothing from a routing layer | Teams needing automated cost alerts, webhook integrations, or quality-adjusted value scoring built into the same tool. |
Pros and cons
AzYun
- Single endpoint for OpenAI, Claude, Gemini and other providers means model-switching requires no integration rewrite.
- Team key sharing and per-project usage tracking address a real operational gap for small engineering teams running multi-provider LLM workloads.
- Pay-as-you-go billing model avoids flat seat fees, which suits teams with variable or experimental LLM usage patterns.
- Pricing details are not clearly published in a way that surfaced through standard search, making it genuinely difficult to compare total cost against self-hosting a proxy like LiteLLM before signing up.
- As a gateway layer, AzYun introduces a third-party dependency into every LLM call your application makes; if AzYun has downtime, all provider access goes down with it, and no public SLA or uptime history was findable at review time.
- The tool has no presence in developer communities or review platforms that could be found, which makes it hard to assess real-world reliability or support quality beyond the vendor's own claims.
TokenPricing
- Covers 627 models and 236 providers, with per-provider price spread visible at a glance for the same model, making arbitrage between providers immediately obvious.
- Sourcing discipline is strong: each price links to its published source, missing prices stay blank instead of defaulting to zero, and outliers are held until verified.
- Completely free with no login, no rate limits on browsing, and no paid tier obscuring any data.
- No programmatic access: there is no public API for TokenPricing's own dataset, so developers cannot pull live pricing into their own cost-monitoring dashboards or CI pipelines without scraping.
- No quality-to-price scoring: the tool shows raw token costs but offers no benchmark-weighted value signal, so a model that is cheap but slow or low-quality looks identical to a cheap, high-quality one in the table.
- Coverage of non-standard pricing structures is intentionally excluded, meaning batch discounts, token-tier rates, and region-specific prices, which can represent significant real-world savings, are absent from every comparison.
Our verdict
AzYun verdict
AzYun is best suited to small dev teams that already pay for multiple LLM provider accounts and want to stop juggling separate keys and billing dashboards. Its load-balancing and model-switching pitch is real, but pricing details could not be independently verified, which makes it hard to compare total cost against rolling your own proxy. Solo developers who only use one model provider have no reason to add this layer.
Read full AzYun review →TokenPricing verdict
TokenPricing is the go-to reference for developers who need to compare token costs across a large number of providers before committing to an API. Its coverage of 627 models and 236 providers is wider than most comparable free tools, but it is a read-only reference with no programmatic API of its own, which limits its usefulness for teams wanting to automate cost monitoring. If you need benchmark-weighted value scores or quality-to-price ratios alongside raw pricing, a tool like TokenPrice.cloud edges it out on that dimension.
Read full TokenPricing review →