October 2026
Agent API: effort level updates and the ultra-preview effort level These effort level changes were not listed in earlier changelog entries. Each line names the current version. Earlier versions stay available as pinned versions . fast ( fast@2026-10-16.0 ): falls back to openai/gpt-5.6-luna when openai/gpt-6-luna is unavailable.
Also shipped Oct 29, 2026Perplexity in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Dashboard relationships are now generally available
Dashboard relationships, which enable multi-fact data models in AI/BI dashboards, are now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
More from Perplexity APIEvery Perplexity API release →
October 2026
Agent API: preset renamed to effort This is a naming change only. Effort levels keep the same models, prompts, tools, limits, and pricing. Version pinning and frozen configurations continue to work as before. preset is still accepted as a deprecated alias, and responses return both fields. See Effort .
October 2026
Tool approvals for MCP and connector calls Set require_approval on an mcp or connector tool to review calls before they run. A call that needs approval returns an mcp_approval_request item and does not run. To approve or deny it, send an mcp_approval_response with previous_response_id .
October 2026
Older models removed from the model docs; GPT-6 Astra and DeepSeek V4 Pro added The following models are no longer listed in the Agent API model docs, pricing calculator, or examples: Anthropic: anthropic/claude-opus-4-8 , anthropic/claude-opus-4-7 , anthropic/claude-opus-4-6 , anthropic/claude-opus-4-5 , anthropic/claude-sonnet-4-6 ...
October 2026
Decisions API: pplx-decider-v1.2 and pplx-decider-flash-v1.2 pplx-decider-v1.2 replaces pplx-decider-v1.1-27b as the 27B decision model, at $0.02 per million input tokens. pplx-decider-flash-v1.2 is a new 4B decision model at $0.01 per million input tokens. Both accept text and images and use the same request limits. Output tokens stay free.
October 2026
Gemini 4 Argon The Agent API now supports google/gemini-4-argon . Introductory pricing through November 30, 2026 is $2.00 per million input tokens, $0.10 per million cached input tokens, and $10.00 per million output tokens, including reasoning tokens. See the Agent API Models reference .
October 2026
Claude Haiku 5.5 The Agent API now supports anthropic/claude-haiku-5-5 . Requests with more than 100k input tokens use higher rates. See the Agent API Models reference .
September 2026
Fast Search Set search_type: "fast" on the Search API or the Agent API web_search tool to use a lower-latency search path. Fast Search costs $1.00 per 1,000 Search API requests or web_search invocations, with model tokens billed separately for Agent API. Set search_type: "web" for standard web search. See Search API Fast Search or Agent API Web Search .
August 2026
GLM 5.3 The Agent API and Router API now support perplexity/glm-5.3 at $1.40 per million uncached-input tokens, $0.26 per million cached-input tokens, and $4.40 per million output tokens. See the Agent API Models reference or the Router model catalog .