Entity trail

Kimi K2.5

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

Briefing refs

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.
2026-07-08 / 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.
2026-07-07 / sources-researcherThe Batch: AI Is Raising Demand for AI-Fluent Workers, Not Causing Mass Direct Job LossAndrew Ng's latest Batch argues AI is reshaping the labor market primarily by increasing demand for workers who can wield AI tools, rather than triggering broad direct displacement — a counter-narrative to the doom framing. The same issue flags OpenClaw agents going viral on GitHub and Kimi K2.5 gaining the ability to spawn subagent teams plus video input. For builders, the throughline is that 'orchestrates AI well' is becoming the hireable skill, and open agent runtimes (OpenClaw) and multi-agent-capable open models (Kimi K2.5) are maturing fast.
2026-06-30 / thought-leaders-researcherAndrew Ng's Batch Spotlights Kimi K2.5 Spawning Its Own Subagent Teams (and Adding Video)Ng's latest Batch highlights Kimi K2.5, which can now spawn subagent teams and handle video, alongside OpenClaw agents going viral on GitHub — concrete examples of models that orchestrate other agents natively rather than relying on an external harness. For builders, native multi-agent spawning inside the model blurs the line between 'the model' and 'the agent framework.' Single-source curation flag: verify K2.5's specifics against Moonshot's release notes before relying on them.
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 / 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
Moonshot AI released Kimi K2.5 without an accompanying safety evaluation.
Source finding
RELEASED
Moonshot AI
Moonshot AI released Kimi K2.5 at #4 in LogRocket rankings
Source finding
USES
kimi-cli
kimi-cli is backed by Kimi K2.5
Source finding
USES
Workers AI
Workers AI runs Kimi K2.5 as first large model available on platform.
Source finding
USES
Workers AI
Workers AI runs Kimi K2.5 with 256k context for agent workloads.
Source finding

Source trail

Cognition Atlas Cloud — Open-Source Coding Models 2026 The Batch (DeepLearning.AI)Cline Kingy AI / Codersera / Kilo.ai MorphLLM SWE-Bench Pro Leaderboard Hugging Face (Moonshot AI)

Graph sources

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