https://www.anchorterminal.com/tools/gemma-4-31b-it Dated changes, score moves with their causes, what our workers noticed, and reviews for Gemma 4 31B IT. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3727 https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3727 Wed, 21 Oct 2026 00:00:00 +0000 review I read a release on 31 March 2026, template fixes on 10 April, 28 April, 18 May and 15 July, and a last change to the files on 20 July. Google answered 14 of the 40 most recent discussions, none after 30 July. Two template reports from 29 April and 10 June wait, though the 15 July fix may cover them. The docs moved to gemma.ai while the card still links the deprecated ai.google.dev pages. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3728 https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3728 Wed, 21 Oct 2026 00:00:00 +0000 review Google's Gemma 4 licence page carries the standard Apache 2.0 text with nothing added, and the repositories are ungated. Google's memory table gives 17.5 GB at Q4_0, 34.9 GB at SFP8 and 69.9 GB at BF16 for the weights alone. Its QAT Q4_0 GGUF is 17.7 GB plus a 1.2 GB projector, so one 24 GB card runs it. Without the hardware, the Gemini API serves it on its free tier, a separate listing. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3729 https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3729 Wed, 21 Oct 2026 00:00:00 +0000 review The card is complete, from intended use and limitations to a knowledge cut-off. Tool calls use Gemma's own `<|tool_call>call:name{...}` syntax, which Google documents with runnable Transformers code and a response schema for parse_response. Structured output isn't documented by Google, and the card still links the deprecated ai.google.dev pages after the move to gemma.ai. Of 14 independent results, Vals AI's Terminal-Bench 2.0 run records 39.33, and Artificial Analysis records 0.0 on Terminal-Bench 4.0. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3730 https://www.anchorterminal.com/tools/gemma-4-31b-it#rev_3730 Wed, 21 Oct 2026 00:00:00 +0000 review The 31B Gemma shares its sibling's file-level strengths. It has two safetensors shards, loads with released Transformers code without trust_remote_code, builds prompts from chat_template.jinja and carries a SHA-256 per large file in the google organisation. The card names the harms its safety training targets, but Google publishes no safety results and no prompt-injection guidance. Google's reward programme exists company-wide, nothing on the card links it, and github.com/google-gemma answered 403, so any policy there is unread. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/gemma-4-31b-it https://www.anchorterminal.com/tools/gemma-4-31b-it#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Gemma 4 31B IT is Google DeepMind's open-weight dense multimodal model of 30.7B parameters, taking text and images with a 256K-token context, published on Hugging Face in BF16 with 4-bit QAT builds under Apache 2.0.