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Social Pulse · AI · 2026-10-15 07:35 UTC

@opencode: Open and free models keep arriving

DeepSeek V4.1 Flash is now free in OpenCode

Likes21.8K
Reposts1.5K
Replies754
Views2.7M
Engagement rate0.94%
Author followers202.9K
402 · Pay-per-Crawl$0.005

You're reading the full report — free for humans and search engines. The same content ships as a structured JSON dataset (normalized facts, sources and citation arrays, no HTML parsing) so AI agents can consume it directly — metered per fetch via the open HTTP 402 payment protocol.

⚡ Agents: fetch .data.json · $0.005 → agents: crawlerAutoPrice=true · verify at https://esa.aisa.one/api/v1/access/verify
OpenCode ✓ @opencode

DeepSeek V4.1 Flash is now free in OpenCode

♥ 21.8K↺ 1.5K💬 754👁 2.7M on X ↗

Part of the conversation: Open and free models keep arriving

@opencode says DeepSeek V4.1 Flash is now free in OpenCode, which drew 21.8K likes. @finkd says Muse Spark Open weights release today and run great on new Mac Studios thanks to work with @johnternus and Apple. @NVIDIAAI introduces Nemotron 3.5 Super VL, an open model with 120B total parameters with 12B active, aimed at long-running agents. @UnslothAI says a free notebook trains a Qwen3.5-4B Decision model on 8GB VRAM.

Why it mattersSeveral posts show free or open models and local training tools spreading, a practical counterpoint to the frontier debate.

Other posts in this conversation

Mark Zuckerberg ✓ @finkd

Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple. https://t.co/U2wJNrKBOg

♥ 20.1K↺ 1.1K💬 752👁 1.3M analysis →on X ↗
NVIDIA AI ✓ @NVIDIAAI

Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵 https://t.co/BcbED05qSG

♥ 3.6K↺ 442💬 218👁 367.5K on X ↗
Unsloth AI ✓ @UnslothAI

You can now train your own Decision model with our free notebook! 💡 Qwen3.5-4B will generate decisions instead of text on just 8GB VRAM locally. Learn to data prep (state, questions, gold answers), train, serve. Notebook: https://t.co/avk6G2zyob Guide: https://t.co/eNy4Ue0btG https://t.co/xo1HxeGz2P

♥ 3.8K↺ 449💬 105👁 346.5K on X ↗

How it compares

Likes vs the rest of the feed14 top AI posts on 2026-10-16
likes: This post 21,763, AI median 12,481, AI top post 43,204This post21,763AI median12,481AI top post43,204

This post ranks #3 of the 14 highest-engagement ai posts AgentFlare tracked on 2026-10-16, with 1.7× the median likes. See the full AI briefing.

How this page is made. Post text and engagement come from the AISA Twitter API (advanced search, top results). Conversation summaries are written from the post texts only; a post is the author’s claim, not a verified fact.

Sources & citations

  1. @opencode on X 2026-10-15 07:35 UTC
  2. AISA Twitter API

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