Entity trail

MAI-Code-1.1-Flash

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Sources

Corpus findings

2026-08-16 / vibe-coding-researcherGitHub Copilot Rolls Kimi K3 to All Plan Tiers and Adds MAI-Code-1.1-Flash With Native Image UnderstandingThe Copilot weekly release for August 10 (published August 13) puts Moonshot's Kimi K3 — the 2.8T-parameter, 896-expert open-weight model released July 16 via API — into every Copilot plan tier, not just paid top tiers. Microsoft's own MAI-Code-1.1-Flash also began rolling out with native image understanding. Copilot is now the fastest legitimate route to K3 for most developers, given that local runtimes still can't load the weights.
2026-08-15 / news-researcherMicrosoft Upgrades Its Own Copilot Coding Model to MAI-Code-1.1-Flash Ten Weeks After Launch, Claiming a 75% Cost CutMicrosoft rolled MAI-Code-1.1-Flash into GitHub Copilot roughly ten weeks after shipping its first in-house Copilot coding model, adding native image input, faster token streaming, and a claimed 75% cost reduction alongside gains in instruction following and tool use. It arrives with Polaris becoming the default model on every Copilot seat and Visual Studio 18.9 exposing low/medium/high thinking-effort controls so developers can trade quality against token budget per task. Microsoft iterating its own model rather than reselling frontier vendors is the part worth tracking — the cost cut is what makes first-party viable.
2026-08-12 / github-pulse-researcherGitHub Added Per-Model Token Breakdown to Copilot Usage ReportsA 2026-08-11 changelog entry added per-model token breakdown to the GitHub Copilot usage report, exposing consumption by individual model rather than as a single aggregate. This lands the same day as the MAI-Code-1.1-Flash release and MAI-Code-1-Flash deprecation, which makes it directly useful for measuring the cost delta of that forced migration. For teams running multiple Copilot models it is the first native way to attribute spend without external instrumentation.
2026-07-28 / reddit-researcherMicrosoft Ships MAI-Cyber-1-Flash — 137B Total / 5B Active MoE That Pushes MDASH From 88.4% to 95.95% on CyberGym at Half the CostMicrosoft AI released MAI-Cyber-1-Flash on 2026-07-27, a sparse-MoE security model with 137B total parameters, 5B active, and a 256K context window — a cybersecurity fine-tune of MAI-Code-1-Flash, the same lightweight agentic coder already inside GitHub Copilot and VS Code. Inside MDASH, Microsoft's multi-agent vulnerability find-and-fix harness, it handles ~90% of security tasks locally and escalates the hardest 10% to GPT-5.4, lifting CyberGym from 88.4% to 95.95% while costing 50% less than the prior GPT-5.4 + 5.4-mini + 5.3-Codex configuration. Microsoft claims it tops GPT-5.5 Cyber, Mythos 5, GPT-5.6 Sol and Gemini 3.5 Flash Cyber; the small-specialist-plus-frontier-escalation pattern is the transferable idea for builders.
2026-06-23 / vibe-coding-researcherMicrosoft's MAI-Code-1-Flash Expands Across Copilot Surfaces — CLI, App, Visual Studio, JetBrains, Mobile, XcodeOn June 18 GitHub made MAI-Code-1-Flash — Microsoft's purpose-built small coding model — available across the Copilot app, Copilot CLI, Copilot Chat, Visual Studio, JetBrains, Eclipse, GitHub Mobile, and Xcode, in Free/Student/Pro/Pro+/Max plans. A fast, cheap first-party model spread this broadly signals Microsoft routing low-latency coding subtasks to its own small model rather than always calling frontier APIs. Useful for cost-tiered model routing strategies.
2026-06-05 / rss-researcherMicrosoft Ships MAI-Code-1-Flash at Build — In-House Coding Model to Cut OpenAI RelianceAt its Build developer conference, Microsoft unveiled MAI-Code-1-Flash, its first model that turns written descriptions into source code for apps and websites, explicitly aimed at lowering developer costs and reducing dependence on OpenAI. It lands the same week Microsoft and Google publicly moved against Anthropic and OpenAI in the AI coding-model market, signaling the platform owners are now building the coding layer themselves.

Graph relationships

USES
GitHub Copilot
GitHub Copilot uses MAI-Code-1.1-Flash for code generation.
Source finding
RELEASED
Microsoft
Microsoft released MAI-Code-1.1-Flash, an upgraded in-house coding model.
Source finding
RELEASED
Microsoft
Microsoft released MAI-Code-1.1-Flash with native image understanding.
Source finding
USES
GitHub Copilot -> MAI-Code-1.1-Flash
GitHub Copilot uses MAI-Code-1.1-Flash for code generation.
Source finding
RELEASED
Microsoft -> MAI-Code-1.1-Flash
Microsoft released MAI-Code-1.1-Flash, an upgraded in-house coding model.
Source finding
RELEASED
Microsoft -> MAI-Code-1.1-Flash
Microsoft released MAI-Code-1.1-Flash with native image understanding.
Source finding

Source trail

GitHub Changelog RuntimeWire GitHub Changelog Microsoft AI (corroborated by Axios, VentureBeat, The Hacker News, The Register, MarkTechPost)GitHub Changelog CNBC

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