[KongchangAI]
Product

Prime Inference

A large model inference service platform launched by Prime Intellect, built on vLLM and optimized for agentic workloads. It supports prefill/decode topology disaggregation, scheduler bubble optimization, and reliable tool calling.

Timeline (last 90 days)

Oct 13

Three providers, AI/ML API, LowRouter, and Prime Inference, were added to the model directory.

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Oct 13

The v4.1.24 update refreshed the model catalog, adding Claude Haiku 5.5, as well as providers such as AI/ML API, LowRouter, and Prime Inference.

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Oct 13

v3.0.71's model catalog adds three providers: AI/ML API, LowRouter and Prime Inference; the v0 provider is streamlined to provide only the default model `v0-1.5-md`; OpenCode Go migrates to the new endpoint `https://opencode.ai/inference/go/v1`; and Step 5 Preview is added to the Cline free list.

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Oct 4

Prime Inference provides guarantees at the inference layer for structured output of tool calls and the stability of function calls.

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Oct 4

Prime Intellect launched Prime Inference, deploying the GLM-5.3 model at scale based on vLLM.

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Oct 4

When selecting an agent inference service, attention should be paid to its end-to-end performance under real agent workloads, rather than only looking at decoding speed on benchmarks.

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Oct 4

Prime Inference has been specifically optimized for agent workloads.

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Oct 4

Prime Inference incorporates specialized design in the prefill/decode topology to differentiate the allocation of compute resources between the two phases.

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All Facts (8)

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