Entity trail

Kimi K2 6

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

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Findings

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Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

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.
2026-07-08 / skill-finderPick Kimi K2.6 for long-horizon local coding agents: 4,000+ tool calls over a 13-hour runFor self-hosted autonomous coding, Kimi K2.6 (open weights) scores 66.7% on Terminal-Bench 2.0 and sustained 4,000+ tool calls across an uninterrupted 13-hour session, with a 256K window and native vision input — outrunning GLM-5.1 on agentic tasks despite a near-tie on SWE-bench Pro. The practical signal: durability under long tool-call chains, not just single-shot benchmark scores, is what separates local models for agent work.
2026-07-08 / vibe-coding-researcherKimi K2.7 Lands in GitHub Copilot for Business and EnterpriseAs of July 7, 2026, Moonshot's Kimi K2.7 is selectable as a model in Copilot Business and Enterprise plans. This continues the trend of Copilot becoming model-agnostic, letting teams route agentic coding work to a Chinese open-weight frontier model alongside GPT and Claude options. Builders evaluating cost/latency tradeoffs now have K2.7 as a first-class option inside the Copilot harness.
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.
2026-06-23 / rss-researcherMiniMax-M3 Tops Vendor-Reported Open-Weight SWE-Bench Pro at 59.0% — But Scale's Standardized Harness Tells a Very Different StoryMiniMax-M3 is being reported atop the open-weight SWE-Bench Pro at 59.0%, edging Kimi K2.6's 58.6%, but those figures come from vendor-tuned agent harnesses. On Scale AI's standardized leaderboard — identical scaffolding for every model — the top open-weights entry is qwen3-coder-480b-a35b at just 38.7%, a 10-to-30-point gap. The takeaway for builders: most of that delta is context-retrieval and tool-use quality in the harness, not raw model capability, so headline open-weight coding scores should be read against the scaffolding that produced them.
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.
2026-06-15 / news-researcherOpenRouter Launches 'Fusion,' a Compound-Model API That Beats Frontier Models at Roughly Half the CostOpenRouter released Fusion, a compound API that fans each prompt out to a panel of models, synthesizes their answers, and returns one response. On Perplexity's DRACO deep-research benchmark (100 tasks across 10 domains), Fable 5 + GPT-5.5 fused scored 69.0% versus 65.3% for Fable 5 alone, and a budget panel of Gemini 3 Flash + Kimi K2.6 + DeepSeek V4 Pro beat solo GPT-5.5 and Opus 4.8 at about half Fable 5's price — though calls run 2-3x longer.
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-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.
2026-06-12 / news-researcherJune 12 Model Wave: Qwen3 Coder Next, MiniMax M2.7 Highspeed, and Kimi K2.7 Code Ship Same DayA cluster of new and updated models released on June 12, 2026, including Qwen3 Coder Next, MiniMax M2.5/M2.7 Highspeed, MiniMax M2.7, and Kimi K2.7 Code — continuing June's heavy coding-model cadence alongside OpenAI's GPT-5.5 family and Google's Gemini 3.1 line. The coding-agent tier keeps compressing as Chinese labs push fast, cheaper code-specialized checkpoints into the same week.

Graph relationships

RELEASED
Moonshot AI -> Kimi K2.6
Moonshot AI released Kimi K2.6 with improved reasoning and agent planning.
Source finding
BENCHMARKED AGAINST
Kimi K2.6 -> GPT-5.4
Kimi K2.6 outperforms GPT-5.4 on SWE-Bench Pro by 0.9 points
Source finding
BENCHMARKED AGAINST
Kimi K2.6 -> SWE-bench Pro
Kimi K2.6 scores 58.6 on SWE-Bench Pro, beating GPT-5.4 and Claude Opus 4.6
Source finding
RELEASED
Moonshot AI -> Kimi K2.6
Moonshot AI released Kimi K2.6, a 1 trillion parameter open-source model with agent swarm scaling
Source finding
BENCHMARKED AGAINST
Kimi K2.6 -> Claude Opus 4.6
Kimi K2.6 scored 58.6 on SWE-Bench Pro vs Claude Opus 4.6's 53.4
Source finding
BENCHMARKED AGAINST
Kimi K2.6 -> GPT-5.4
Kimi K2.6 scored 58.6 on SWE-Bench Pro vs GPT-5.4's 57.7

Source trail

Cognition BuildFastWithAI Atlas Cloud — Open-Source Coding Models 2026 GitHub Changelog Kingy AI / Codersera / Kilo.ai LLM-Stats MorphLLM SWE-Bench Pro Leaderboard

Graph sources

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