Kimi K2.7 Code is generally available in GitHub Copilot

Original Article ↗ Hacker News Discussion ↗

Custom / BYO models in Copilot and VS Code

  • Commenters say Copilot already supports custom/BYOM models in some contexts (CLI, Copilot app, VS Code), but integration is poorly documented and unstable.
  • VS Code’s “bring your own key” (BYOK) support for Copilot Chat is described as the more reliable path; people report successfully wiring in third‑party models via this route.
  • Some users report failures trying to add certain external LLMs directly as Copilot custom models, but success when going through VS Code BYOK instead.

Kimi K2.7-Code, other models, and hosting

  • Many see Kimi K2.7-Code as a welcome non‑US option, especially for enterprises that can’t directly use Chinese providers but can use GitHub/Microsoft.
  • Benchmarks are cited that put it near “Sonnet 4.6”–class performance, but others are skeptical, reporting worse real‑world results than Claude, possibly due to quantization or hosting differences.
  • GitHub docs say Moonshot models (Kimi) are hosted on US‑based Azure AI Foundry; prompts aren’t sent to the original model developer.
  • Commenters expect GLM 5.2 and DeepSeek V4 to be added next, noting they’re already on Azure.

Pricing, multipliers, and user migration

  • The recent Copilot shift to strict token billing and model multipliers is widely described as a “rug pull” and “insane” price hike.
  • Many individual users and teams say their $10–$20 monthly budgets are now exhausted in days, especially using Claude Opus–class models.
  • Several orgs report cancelling Copilot and moving to Claude Code, Cursor, liteLLM, OpenCode, or direct API use; some still find Copilot cheaper at enterprise scale due to bundled credits and negotiated discounts.
  • Confusion around annual/legacy plans and model multipliers is noted; some features/models appear unavailable or inconsistently documented.

Harness quality and experience

  • Multiple comments claim Claude (especially Claude Code) outperforms the same models via Copilot, attributing this to better “harnesses” (system prompts, tools, routing).
  • Others like Copilot CLI and Agent Client Protocol integration, praising multi‑model orchestration and sub‑agent routing.
  • Zed, Reasonix, and other harnesses are discussed; tool‑calling reliability and caching strategies dramatically affect perceived model quality and cost.

Cloud, compliance, and alternatives

  • Some worry about CLOUD Act exposure and doubt GDPR compliance when using US clouds; others argue most European infra is already on those clouds, so it’s a moot point.
  • Open weight hosting via Copilot, Cloudflare, Synthetic, Fireworks, etc. is seen as giving enterprises cheaper or more flexible options.
  • Several commenters advocate moving to local models (Qwen, Gemma, GLM, etc.), valuing cost control, stability, and extensibility over absolute frontier performance.