Models / Open weights

Open models for every agent

Power reasoning, tool use, and long-running agent workloads through OpenAI- and Anthropic-compatible APIs.

01 / Model catalog

Access models from the top open-source labs through a single, unified Inference API. Pay only for the tokens you use.

Showing Kimi K3, item 4 of 6.
Model 04In progress
Kimi

Kimi K3

kimi-k3

Model profile · In progress

Moonshot's 2.8T-parameter open-weight multimodal agentic model — frontier reasoning, native vision, and a 1M-token context window.

Input

$3.00

/ M tokens

Cache read

$0.30

/ M tokens

Output

$15.00

/ M tokens

Context

1M

tokens

Max output

1M

tokens

Serving

Serverless

Pay per token

02 / Production workloads

Built for production agent workloads

Prism serves open-weight models through one reliable inference API built for long tool traces, large context windows, and production-scale agent workloads.

INPUTMODELTOKENS

Low latency

Speculative decoding and batching shaped around code generation, not general chat.

010203GPU BATCH

High throughput

Batched serving across a GPU fleet so a customer agent can stay in a tight loop.

REQUESTPRIMARY FLEETFAILOVER FLEET

Reliable uptime

Redundant serving paths keep inference available when individual workers or GPUs go offline.

03 / Deploy

The cheapest and fastest inference on the market.