December 16, 2025 · Cerebras
Streaming supported for all models, plus reasoning_format parameter for reasoning models
Streaming is now supported for all models, including with structured output requests (response_format, tools).
Reasoning Format Controls
Added reasoning_format parameter for reasoning models, giving you control over how reasoning text appears in responses. Options include:
parsed- Returns reasoning in a separatereasoningfield with logprobs separated intoreasoning_logprobstext_parsed- Returns reasoning in a separatereasoningfield (logprobs stay together)raw- Includes reasoning inline with content using<think>tagshidden- Drops reasoning text from the response (tokens still counted)
See Reasoning for details.
Logprobs with Structured Outputs
logprobs are now supported for structured output requests (response_format, tools), matching OpenAI's API behavior.
When constrained decoding limits the valid token set below the requested top_logprobs, the response is padded with additional tokens from the model vocabulary, each assigned a logprob of -100. If only a single valid token remains after constraint masking, that token will have a logprob of 0 (probability 1). The output will not contain duplicate tokens.
Multi-turn Tool Calling for Llama 3.3 70B
Multi-turn tool calling is now supported for llama-3.3-70b. A bug preventing this functionality has been resolved.
Latest Cerebras Inference changes
Kimi K3.1 Pro added to Dedicated catalog, with image inputs and reasoning levels
Kimi K3, GLM 5.3 Flash and three more models added to Dedicated catalog
Service Tiers docs updated for service_tier reporting and auto and priority fallbacks
qwen-3.8-27b Developer tier rate limit raised temporarily to 750K tokens per minute
gemma-4-31b removed from Cerebras public endpoints, still on Dedicated