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Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff

Canopy Wave is officially SOC 2 certified! This milestone reflects our commitment to delivering high-quality inference services with enterprise-grade security, reliability, and confidentiality. SOC 2 certification validates that our systems and internal controls are designed to consistently safeguard customer data and ensure a secure, dependable infrastructure for developers and businesses at scale. Special thanks to Prescient Security for guiding us through the audit and certification process.

On Canopy Wave, you're not just buying tokens — you're getting premium quality tokens. Deeper reasoning, reliable tool calling, and consistent excellence even past 100k+ contexts. High-quality inference isn't optional; it's everything.

⬆️Full Model Lineup Upgrade We’ve rolled out a full upgrade across our model stack: · Kimi K2.5 → Kimi K2.6 · GLM 5 → GLM 5.1 · DeepSeek V3.2 → DeepSeek V4 Flash · MiMo V2 Flash → MiMo V2.5 Delivering clear improvements across coding, agent workflows, multimodal tasks, and complex reasoning. Haven’t tried the new models yet? Now’s the perfect time👇

GLM-5.1 is now live on Canopy Wave Built by @Zai_org, this powerful open-weight model is engineered for long-horizon agentic tasks. It achieves SOTA on SWE-Bench Pro with 58.4, outperforming GPT-5.4 (57.7), Claude Opus 4.6 (57.3), and Gemini 3.1 Pro (54.2). Now available on Canopy Wave's fast, reliable, and secure inference platform — perfect for: - Production-scale agentic engineering - Long-horizon coding workflows - Stable, high-throughput autonomous execution GLM 5.1 is now available in our Coding Plan Pro🎉

Agent Capability Showcase — Hermes Agent vs OpenClaw Powered by our Kimi K2.6, both agents received the identical high-difficulty instruction set: 1. Find & summarize today's top 3 AI news 2. Code + save Fibonacci sequence (first 20 terms) 3. Scrape HN top 5 (titles + comments) 4. Build a full inference-benchmark project folder from scratch Full side-by-side comparison video is out now Watch the Unlimited Agent showcase! Which one do you think won? Drop your pick in comments👀

DeepSeek-V4-Flash is now live on Canopy Wave🎉 A fast, cost-efficient MoE model built for production AI workloads: - 284B total/13B active params - 1M token context - Reasoning close to V4 Pro - Strong on simple agent tasks ⚡️Fast + low latency 🤖Great for agents & coding ⚡️High cost-performance ratio $0.14 input/$0.28 output/$0.028 cache Try it now👇

The first-ever Unlimited Token Plan just got better!🥳 Now upgraded with #Kimi K2.6 — built for even stronger multi-agent workflows: ♾Real Unlimited Tokens — Scale freely, no caps 🌕Powered by Kimi K2.6 — Optimized for complex, long-horizon tasks 🔒Privacy & Compliance Guaranteed — Secure inference, your data stays protected. Plans start at $15.99/month. No surprise bills, just seamless automation. Stop overpaying for Claude. Start your 7-day free trial now👇

You probably won't believe me no matter what I say. Luckily, we have a 7-day free trial—try it for yourself and see @CanopyWave_AI. New users enjoy a 7-day free trial of Kimi K2.6 on the Unlimited Token Plan. canopywave.com/events/april-p… #Kimi

@CanopyWave_AI Enjoy the K2.6 on Canopy Wave 🥳

#Kimi K2.6 is now live on Canopy Wave. Built by @Kimi_Moonshot, K2.6 pushes the frontier of open-source coding and agentic intelligence: - SOTA on SWE-Bench Pro, BrowseComp, Math Vision & more - 4000+ tool calls, 12+ hour autonomous runs - 300 parallel agents handling complex workflows - MoonViT-powered advanced vision-language reasoning From autonomous coding to large-scale agents, K2.6 is engineered for real-world production agents. $0.95 input / $4.00 output / $0.16 cache Ready to build? Try Kimi K2.6 now on Canopy Wave👇

Kimi K2.6 just cooked GPT-5.4 & Claude on open coding benchmarks🔥 12hr runs, 4000 tool calls, 300-agent swarms + WebGL magic. Open weights available now. Massive win for the open-source ecosystem.

#Kimi K2.6 is next-level: open-source SOTA coding with 12hr+ runs, 4000 tool calls, 300-agent swarms & wild Three.js frontends🔥 Huge upgrade for long-horizon agents and complex dev work. @Kimi_Moonshot K2.6 is landing on Canopy Wave soon. Anyone excited to try it? Let us know👀

Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on kimi.com in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…

Devs are saying Kimi K2.6 Code Preview is now rivaling Claude Sonnet 4.6 in coding and Agent tasks. Tool calling feels faster and planning goes deeper. Who‘s tried Kimi K2.6? Drop your thoughts👇🏻

Your Hermes Agent works better without token limits. Our Unlimited Token Plan now supports Hermes Agent: - No per-token billing - Predictable monthly costs - Scale without constraints Zero token anxiety. 100% focus on building.

RT @CanopyWave_AI: Real-world results with #MiniMax M2.5 on Canopy Wave: ~3x faster TTFT 36% cost saving Fastest end-to-end latency 86% ca…

I have been using the "Unlimited 50M" token plan by @CanopyWave_CW, powered by Hermes Agent. Kimi-K2.5 has been my main driver for this mini project and UI is quite good & the model itself has good vibes. It was essentially one-shotted, and even though there's lots of work to do

@CanopyWave_CW I had good experience with CanopyWave in general, and I'm really thankful for their team for always listening to the feedback, and being so responsive! 50M tokens is enough for the light user, but I'd recommend getting the 200M plan, for the moderate user.