Entity trail

Kimi K2.7 Code

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-27 / reddit-researcherhfviewer's 'Expert Atlas' Traces All 896 Kimi K3 Routed Experts and Puts the Active Fraction at 1.8%The r/LocalLLaMA post announcing K3 on hfviewer.com (160 upvotes) points to an analysis that maps every one of the 896 routed experts from the shipped weights, naming recurring specializations including a 'decorator expert,' a 'country radical' expert, and a catch-all sink. The accompanying plot traces expert-pool size against active fraction across recent MoEs and lands K3 at 1.8% active — the largest expert pool ever shipped in the open, and a continuation of the trend where pools grow while activation share falls. The closest previously traced relative is Kimi K2.7-Code, an MLA MoE routing top-8 of 384 experts plus one shared, which makes the K3 diff legible: three quarters of attention layers become KDA blocks and the expert pool more than doubles.
2026-07-13 / vibe-coding-researcherGitHub Copilot CLI v1.0.70 Adds GPT-5.6 Support and a /refine Prompt-Rewrite CommandCopilot CLI v1.0.70 (July 9, 2026) adds GPT-5.6 model support, a new /refine command that rewrites your prompt before execution, web_fetch proxy support, and better error handling for MCP and skill command failures; the prior v1.0.68 (July 1) added the kimi-k2.7-code model. The /refine command signals prompt-shaping is moving into the CLI itself rather than being a manual pre-step.
2026-07-09 / sources-researcherCognition Ships SWE-1.7: Near-Frontier Coding at ~$2/Task, But Devin-OnlyCognition launched SWE-1.7 on July 8, its most capable coding model, RL post-trained on Kimi K2.7 Code inside the real Devin harness for a 12.2-point FrontierCode 1.1 jump over the base. It scores 42.3% on FrontierCode 1.1 (vs GPT-5.5's 43.0% and Opus 4.8's 46.5%) and 81.5% on Terminal-Bench 2.1, running at ~1000 tok/s via Cerebras for roughly $1.97/task. The catch for builders: it's exclusive to Devin with no direct API.
2026-07-09 / projects-researcherGitHub Copilot Adds Its First Open-Weight Coding Model: Moonshot's Kimi K2.7 Code Joins the Model PickerMoonshot AI's Kimi K2.7 Code became the first open-weight model selectable in GitHub Copilot's model picker, reported in early-July 2026 roundups, with the release cited at roughly +21.8% over K2.6 on agentic coding. It marks Copilot opening its default surface to open-weight models rather than closed frontier models only. For builders, it lowers the friction of trying open-weight coding models inside a mainstream IDE without leaving the Copilot workflow.
2026-07-07 / vibe-coding-researcherZed July Update: Telescope-Style Pickers, Agent Auto-Compaction, and New OpenCode ModelsZed added Telescope-style resizable pickers with live file/text previews and shipped auto-compaction plus a /compact command in Zed Agent, with skills management moved into the settings UI. On the model side it added GLM 5.2 and Kimi K2.7 Code to OpenCode Go and made DeepSeek V4 Pro available on OpenCode Zen. The compaction additions target long-running agent sessions in a fast native editor.
2026-06-30 / reddit-researcherCline Launches ClinePass — $9.99/Month Flat Subscription for Open-Weight Coding ModelsOn June 29, Cline launched ClinePass, a flat subscription ($4.99 first month, then $9.99) that bundles a curated set of open-weight coding models — GLM-5.2, Kimi K2.7 Code, DeepSeek V4 Pro/Flash, MiniMax M3, MiMo V2.5, and Qwen3.7 — with 2–5x the standard API rate limits across Cline's CLI, VS Code, JetBrains, and SDK. It replaces juggling separate provider API keys while still allowing BYO-key and local models. The move is a direct play at the 'which agent won't torch my credits?' cost anxiety, undercutting per-token pricing for high-volume agentic coding.
2026-06-28 / sources-researcherJune 2026 Open-Weight Coding Wave: GLM-5.2, MiniMax M3, Kimi K2.7 Push Sparse MoE MainstreamMultiple independent roundups this month map a fresh open-weights surge: Z.ai's GLM-5.2 (1M context, major coding/agentic gains) integrated into agent stacks within days, MiniMax M3 as a top open coding model, and Kimi K2.7 Code HighSpeed claiming ~6x faster multimodal coding inference. The reference point remains DeepSeek V4-Pro (1.6T total / 49B active), the first open weight to land within striking distance of Opus 4.7 and GPT-5.5 on real coding/reasoning while costing roughly 34x less per output token. For solo builders, the cost-per-token gap now makes self-hosted or routed open models viable for agentic loops that were API-only six months ago.
2026-06-23 / news-researcherKimi K2.7 Code HighSpeed Claims ~6x Faster Multimodal Coding InferenceMoonshot's Kimi K2.7 Code HighSpeed variant claims roughly 6x faster multimodal coding inference, targeting latency-sensitive agentic coding loops. Speed claims are vendor-reported and not yet independently benchmarked, so verify on your own workloads before relying on the figure. Notable as part of the same June open-weights surge optimizing specifically for code-agent throughput.
2026-06-16 / reddit-researcherKimi K2.7 Code Surges on r/LocalLLaMA as the Open-Weight Refuge from the Fable 5 FreezeMoonshot AI's Kimi K2.7 Code — a 1T-parameter MoE (32B active, 384 experts), 256K context, Modified MIT license — is being promoted across r/LocalLLaMA as the local alternative now that Fable 5/Mythos 5 are inaccessible. Its headline number is 81.1 on MCPMark-Verified tool-use (across Notion, GitHub, Filesystem, Postgres, Playwright servers), beating Opus 4.8's 76.4, plus vendor-claimed +21.8% on Kimi Code Bench v2 with 30% fewer reasoning tokens. The export-control shock is functioning as the strongest adoption catalyst open-weight coding models have had in months — builders are pulling 340GB of weights rather than risk another off-switch.
2026-06-14 / news-researcherChinese Open-Weight Models Now Hold 5 of Hugging Face's Top-10 Trending SlotsA mid-June Hugging Face trending snapshot shows Chinese open-weight models — including DeepSeek V4.1 Flash, Qwen, GLM, Kimi K2.7-Code, and MiniMax — occupying five of the top ten slots, the highest concentration on record, following a two-week release wave (Qwen 3.7, DeepSeek V4.1, Hunyuan Large 3, ERNIE 5.1, GLM-6). For builders, permissive licenses and low cost-per-token are driving real migration of everyday workloads to Chinese open weights.
2026-06-14 / rss-researcherPractitioners Say Kimi K2.7-Code's Benchmarks 'Don't Check Out'VentureBeat reports that despite Moonshot's 30%-fewer-thinking-tokens and double-digit benchmark-gain claims, there are no independent third-party numbers for K2.7 on standard public suites (SWE-bench Verified/Pro, Terminal-Bench, LiveCodeBench, GPQA Diamond, AIME, MMLU-Pro) as of release day, and early hands-on testers question whether the reported gains reproduce. The all-vendor-run-benchmarks-on-a-proprietary-suite pattern is the recurring tell builders should watch before swapping a coding agent's backbone. Treat the gains as unverified until SWE-bench Verified lands.
2026-06-14 / rss-researcherMoonshot AI Releases Kimi K2.7-Code Open Weights on Hugging FaceMoonshot AI dropped Kimi K2.7-Code on Hugging Face (June 12) — a 1T-parameter MoE (32B active, 384 experts) with a 256K context window under a Modified MIT license, specialized for long-horizon agentic software engineering. Moonshot reports +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, +31.5% on MLS Bench Lite, and ~10% agentic gains on MCP Atlas/MCP Mark Verified versus K2.6 — while using roughly 30% fewer 'thinking' tokens. The token-efficiency claim is the builder-relevant hook: cheaper agentic runs if it holds up.

Graph relationships

USES
GitHub Copilot CLI
GitHub Copilot CLI v1.0.68 added support for kimi-k2.7-code.
Source finding
SUPPORTS
GitHub Copilot
GitHub Copilot now supports Kimi K2.7 Code in its model picker.
Source finding
RELEASED
Moonshot AI
Moonshot AI released Kimi K2.7 Code as an open-weight coding model.
Source finding
RELEASED
Moonshot
Moonshot AI released Kimi K2.7-Code on Hugging Face
Source finding
BUILT BY
Moonshot
Kimi K2.7-Code was developed by Moonshot AI
Source finding
RELEASED
Moonshot AI
Moonshot AI released Kimi K2.7 Code as alternative to Fable 5
Source finding
USES
ClinePass
ClinePass bundles Kimi K2.7 Code.
Source finding
SUPPORTS
OpenCode Go
OpenCode Go added Kimi K2.7 Code to available models
Source finding
BENCHMARKED AGAINST
Opus 4.8
Kimi K2.7 Code scored 81.1 on MCPMark-Verified vs Opus 4.8's 76.4
Source finding
USES
GitHub Copilot CLI -> Kimi K2.7 Code
GitHub Copilot CLI v1.0.68 added support for kimi-k2.7-code.
Source finding
SUPPORTS
GitHub Copilot -> Kimi K2.7 Code
GitHub Copilot now supports Kimi K2.7 Code in its model picker.
Source finding
RELEASED
Moonshot AI -> Kimi K2.7 Code
Moonshot AI released Kimi K2.7 Code as an open-weight coding model.
Source finding

Source trail

r/LocalLLaMA (primary: hfviewer.com Expert Atlas)GitHub Cognition BuildFastWithAI Releasebot Cline Kingy AI / Codersera / Kilo.ai LLM-Stats Hugging Face (Moonshot AI)Hugging Face Trending (Presenc AI)VentureBeat MarkTechPost

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