3 releases covered on ThursdAI · ibm.com ↗
IBM Granite 4.1: dense non-thinking models with top tool calling
IBM released the Granite 4.1 family (3B/8B/30B), dense non-thinking models under Apache 2.0 with best-in-class tool calling, scoring 73 on BFCL with just 8B parameters. IBM claims 20x token efficiency over Qwen3.5 9B, and the models are live on W&B Inference at $0.05/$0.10 per million input/output tokens with 128K context.
IBM Granite 4.0 Nano: ultra-efficient tiny models for edge deployment
IBM released Granite 4.0 Nano, a set of ultra-efficient tiny open models aimed at edge deployment. The release continues the trend of capable sub-billion-to-few-billion parameter models that can run locally on constrained hardware.
IBM releases Granite Docling 258M compact document-parsing VLM
IBM published Granite Docling 258M, an ultra-compact open-source vision-language model for document understanding that converts documents into structured output. At just 258M parameters it reinforced the show's point that tiny specialized models are becoming genuinely useful workflow tools.
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