Canopy Wave

Best inference platform for open models.
Web:

[Canopy Wave @CanopyWave_AI]

Kimi K2.6 is currently the strongest multimodal agentic reasoning open model, reaching new heights in long-horizon agentic capabilities, multimodal understanding, and autonomous execution of complex projects.

Now you can deploy Kimi K2.6 with Canopy Wave and get:
- Stable low-latency inference at scale
- Production-grade performance
- SOC-2 certified secure AI infra
Perfect for complex agent swarms and long-horizon projects.

Quick start: https://t.co/i6084B21TB

[Canopy Wave @CanopyWave_AI]

Congrats to the GLM team on GLM-5.2 👏@Zai_org
Making flagship coding models broadly available across tiers helps advance the developer ecosystem as a whole.

[Z.ai @Zai_org]

Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.

GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.
https://t.co/AedZACyzej

As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks.

API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License.

The future of AI is open, and it belongs to the people.

[Canopy Wave @CanopyWave_AI]

@Zai_org Congrats to the GLM team on the launch of GLM-5.2 👏

[Canopy Wave @CanopyWave_AI]

Congrats @Kimi_Moonshot on Kimi-K2.7-Code! Less overthinking, stronger long tasks. The coding game just leveled up again.👏

[Kimi.ai @Kimi_Moonshot]

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!

🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite.
🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6.
🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates.

⚡️ 6x High-Speed Mode coming soon!
🔌 Available today via Kimi API and Kimi Code.

🔗 Kimi Code: https://t.co/uvoSJKyGCY
🔗 API: https://t.co/EOZkbOwCN4

[Canopy Wave @CanopyWave_AI]

@Kimi_Moonshot Kimi-K2.7-Code looks insane. Less overthinking + better long-horizon performance = actual usable coding agent. Congrats on the release!

[Kimi.ai @Kimi_Moonshot]

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!

🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite.
🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6.
🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates.

⚡️ 6x High-Speed Mode coming soon!
🔌 Available today via Kimi API and Kimi Code.

🔗 Kimi Code: https://t.co/uvoSJKyGCY
🔗 API: https://t.co/EOZkbOwCN4

[Canopy Wave @CanopyWave_AI]

Pick the right model for the job: https://t.co/UoX8bRXaaa

[Canopy Wave @CanopyWave_AI]

Frontend/Design: Kimi K2.6
Backend: Kimi K2.6/GLM 5.1
Code Review: MiMo V2.5
Reasoning: DeepSeek V4
All-rounder: Kimi K2.6

The best AI stack isn't one model.
It's having the right model when you need it.

[Canopy Wave @CanopyWave_AI]

@dawnsongtweets The fact that ALE-CLI is already harder than SWE-bench Pro and Terminal-Bench says everything. Great to see frontier models doing meaningful work on mid-tier tasks, but the long-horizon expert tier is clearly where the real challenge lies.

[Canopy Wave @CanopyWave_AI]

@opencode DeepSeek-v4-flash at 31T tokens. Absolutely dominating. Insane value and speed for coding tasks!

[Canopy Wave @CanopyWave_AI]

@Azure It’s great to see hardware evolving specifically for agentic AI workloads. The future is clearly moving in this direction!

[Canopy Wave @CanopyWave_AI]

@kimmonismus Any guesses on what the first product/category they ship will be?

[Canopy Wave @CanopyWave_AI]

@zebassembly Been running Kimi K2.6 and it’s been fantastic. Huge cost saver with almost zero quality drop.

[Canopy Wave @CanopyWave_AI]

@pseudokid Completely agree. MiMo V2.5 for architecture + DeepSeek Flash for implementation is pure magic at this price point.

[Canopy Wave @CanopyWave_AI]

@mythghast Agreed, the pricing is wild. DeepSeek basically made frontier-level coding affordable for everyone.

[Canopy Wave @CanopyWave_AI]

Which open-source model do you think is the best right now?
Got another pick? Drop it in the comments👇

[Canopy Wave @CanopyWave_AI]

@bubbleboi Open-source is the answer: full transparency, no arbitrary limits, and community-driven progress.

[Canopy Wave @CanopyWave_AI]

@SemiAnalysis_ Great data. But one risk: if they gate too many good models behind API, power users might just churn to whichever lab gives the best sub experience.

[Canopy Wave @CanopyWave_AI]

@XiaomiMiMo This looks incredibly promising! Open-sourcing MiMo Code V0.1 with 1M context and agent synergy is huge. Can’t wait to try it.

[Canopy Wave @CanopyWave_AI]

@Polymarket Enterprises will thank OpenAI for the cuts, but they’ll quietly move more workloads to open-source. Cost + control wins.

[Canopy Wave @CanopyWave_AI]

@zerohedge AI should be affordable. The era of $20/million tokens was never sustainable anyway.

[Canopy Wave @CanopyWave_AI]

@nvidia @MistralAI Absolutely agree. Open models shine brightest when you can fully customize them on your own data — and pair that with rock-solid infrastructure. This is the real path to enterprise adoption.