VQV Signal

AI AT WORK WATCH TECHNICAL

Command Code adds DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash and Kimi K3.1 Pro to its coding agent

According to a post on X by @CommandCodeAI, the Command Code coding agent says three model releases from last week, DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Kimi K3.1 Pro, are now available in its tool. The post points new users to an npm install and a plan priced at $10 a month. The source is a company social post rather than an independent report, so the availability claim comes from Command Code itself.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-25T01:56:00+00:00 Detected 2026-10-25T05:22:52+00:00
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According to a post on X by @CommandCodeAI, the Command Code coding agent says three model releases from last week, DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Kimi K3.1 Pro, are now available in its tool. The post points new users to an npm install and a plan priced at $10 a month. The source is a company social post rather than an independent report, so the availability claim comes from Command Code itself.

AI-assisted summary based on the listed source.

The Command Code coding agent says last week's three notable model releases, DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Kimi K3.1 Pro, are now live in its tool. It points new users to its npm install and a $10-a-month plan. Also: https://x.com/CommandCodeAI/status/2114160297774891326 <a...

Developers who use Command Code can now choose among these newer open-source models inside a single coding agent, which may matter for anyone comparing model options for coding work. Teams evaluating these models should check how each performs on their own tasks before switching. Watch for independent benchmarks and wider availability of the models.

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 93% Technical label WATCH Public Interest 69 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 73 Practical Impact Score 98 Novelty Interest Score 94 Consequence Score 18 Curiosity Score 16 Shareability Score 79

VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).