Models17d ago
Perplexity Releases Open-Weight Multimodal Decision Models pplx-decider-v1.2 (27B) and Flash (4B) on OpenRouter and Vercel AI Gateway
Perplexity Developers (@perplexitydevs) announced the launch of pplx-decider-v1.2 (27B) and pplx-decider-flash-v1.2 (4B) across OpenRouter and Vercel AI Gateway. Taking both text and images as input, these open-weight multimodal decision models return typed answers with calibrated probabilities at just $0.02 per million input tokens for the 27B checkpoint and half the cost for the 4B Flash variant.
Release24d ago
Microsoft launches Microsoft-Decision-1: a Qwen3.5-9B-based decision-scoring model at $0.042/M input tokens, free output, on Foundry and OpenRouter
On Oct 9 Microsoft released Microsoft-Decision-1, a decision-scoring model that returns calibrated probabilities over fixed options instead of generating text, aimed at routing, classification, verification, agent guardrails and AI judging. Microsoft reports top accuracy across 36 blind benchmarks, ~35x lower P50 latency than GPT-6 Sol and a 1.3% decision-flip rate under perturbation. Available on Microsoft Foundry and OpenRouter, 32K context, $0.042/M input, free output.
Tooling20d ago
ScaleDown ships Constrained Decoding Models: 1M-token task models for summarize, compress, extract and classify, with LangChain Deep Agents middleware
On Oct 13 ScaleDown launched Constrained Decoding Models (CDMs): each model is trained for a single task and only returns answers that task allows (a label or spans of the input) instead of free-form token-by-token generation. LangChain shipped a langchain-scaledown integration and LangSmith LLM Gateway support the same day, with middleware for history summarization, tool-result compression and structured extraction. ScaleDown claims 200x faster and 467x cheaper than frontier models on these narrow tasks; Extract and Summarize are on OpenRouter at $0.04 per million input tokens.
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