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Cerebras Inference

For agents: Cerebras Inference docs: quickstart, OpenAPI reference, and model catalog for hosted open-source LLM inference on Cerebras hardware.

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# Cerebras Inference

- [Quickstart](https://inference-docs.cerebras.ai/quickstart.md): Make your first Cerebras API call in just minutes.
- [Pricing](https://inference-docs.cerebras.ai/support/pricing.md)
- [Rate Limits](https://inference-docs.cerebras.ai/support/rate-limits.md): Learn how rate limits are applied and measured.
- [Model Catalog](https://inference-docs.cerebras.ai/models/overview.md): Browse all models available with Cerebras Shared Inference.
- [Qwen 3.8 27B](https://inference-docs.cerebras.ai/models/qwen-3.8-27b.md): Alibaba's 27B dense multimodal model for agentic coding, tool use, research, and long-running workflows. It accepts text and image inputs and supports configurable reasoning.
- [OpenAI GPT OSS](https://inference-docs.cerebras.ai/models/openai-oss.md): This model excels at efficient reasoning across science, math, and coding applications. It's ideal for real-time coding assistance, processing large documents for Q&A and summarization, agentic research workflows, and regulated on-premises workloads.
- [Choose a Model](https://inference-docs.cerebras.ai/models/choose-a-model.md): Find the right open-source model for your workload on Cerebras, including alternatives for Claude, GPT, and Gemini.
- [Reasoning](https://inference-docs.cerebras.ai/capabilities/reasoning.md): Control reasoning effort, response format, and multi-turn reasoning behavior.
- [Streaming Responses](https://inference-docs.cerebras.ai/capabilities/streaming.md): Learn how to enable streaming responses in the Cerebras API.
- [Structured Outputs](https://inference-docs.cerebras.ai/capabilities/structured-outputs.md): Generate structured data with the Cerebras Inference API.
- [Tool Calling](https://inference-docs.cerebras.ai/capabilities/tool-use.md): Learn how to connect models to external tools with tool calling.
- [Prompt Caching](https://inference-docs.cerebras.ai/capabilities/prompt-caching.md): Store and reuse previously processed prompts to reduce latency and increase response times for similar or repeated queries.
- [Image Inputs](https://inference-docs.cerebras.ai/capabilities/image-inputs.md): Pass images to vision-capable models.
- [Payload Optimization](https://inference-docs.cerebras.ai/capabilities/payload-optimization.md): Reduce latency by compressing request payloads with msgpack encoding and gzip.
- [Dedicated Inference](https://inference-docs.cerebras.ai/dedicated/overview.md): Run production inference on capacity reserved for your organization.
- [Batch](https://inference-docs.cerebras.ai/capabilities/batch.md): Run large-scale inference workloads asynchronously.
- [Predicted Outputs](https://inference-docs.cerebras.ai/dedicated/predicted-outputs.md): Reduce latency by specifying parts of the response that are already known.
- [Management API](https://inference-docs.cerebras.ai/dedicated/management-api.md): Programmatically upload, version, and deploy custom model weights with Dedicated Inference.
- [Service Tiers](https://inference
…

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