Guides·Inference

Inference providers

Model weights are increasingly a commodity; serving them fast and cheap is not. These guides compare the providers on the numbers that matter for agentic coding: price per million, speed, and reliability.

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Inference providers: the honest 2026 comparison Five kinds of company sell you inference. Here is what each actually charges, where each is genuinely fast, and which one a coding agent should point at. 8 min Fireworks AI review: what it is good at, and what it is not Fireworks serves open weights fast and sells the speed as a separate SKU. Here is what that buys, and where the catalog stops. 7 min Fireworks AI pricing: every rate, tier, and free credit The full Fireworks rate card, read off the vendor pages in August 2026, plus what a real coding-agent month costs. 6 min Together AI review: the widest catalog, and what it costs you Together sells the broadest surface in open-model inference: tokens, clusters, training, sandboxes. Breadth is the pitch and also the risk. 6 min Together AI pricing: tokens, GPUs, batch, and the free tier Every Together rate card in one place, read off the vendor pages in August 2026, including the parts the marketing page skips. 6 min Baseten review: model APIs, dedicated deployments, and pricing Baseten is two products wearing one name: a small fast model API, and a serious platform for deploying your own model. Know which one you are buying. 6 min Modal review: serverless GPUs, and when a team needs them Modal is not an inference API. It is a Python-native way to run any code on a GPU and pay by the second. That difference decides whether it is right for you. 6 min Modal pricing: every GPU rate, free credits, and worked costs The complete Modal rate card, converted to hourly, plus the utilization point where renting a GPU outright becomes cheaper. 6 min Cheapest LLM API: the honest list, by capability class Cheap is only meaningful within a capability class. Here are the real numbers in each, and the five traps that turn a cheap rate into a large bill. 8 min Serverless inference: three different things with one name The word covers a token API, a GPU container, and a reserved endpoint. They have different prices, different failure modes, and different right answers. 6 min LLM inference speed: tokens per second is the wrong metric Throughput, first-token latency, and end-to-end turn time are three different numbers. Agents are bound by the one nobody advertises. 8 min Free LLM API: every genuinely free option, with the catch for each Six providers that will serve you tokens for nothing, the exact limits, and what each one wants in return. 7 min
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