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Kimi K2.7 Code is generally available in GitHub Copilot

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Re: Kimi K2.7 Code is generally available in GitHub Copilot

#91
post #51

Earlier quoted context omitted.

That's quite an achievement, I managed to spend only 2$ on 16 different tasks of v4 pro.

Yeah, v4 flash is dirt cheap, but it's running in circles quite often. Might very well be that a better model is cheaper if it gets things right the first try. Maybe I should route to a better model when v4flash hasn't solved after a specific number of tokens.

I'm having great success with DS4 Pro as my main model, while using DS4 Flash for subagents.

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#92

Input: $0.95 Cache hit (most important): $0.19 Output: $4.00 This is the same as how much Moonshot charges for it, and it puts it at roughly the price of GPT 5.4 mini, not a bad option. For some context here is a stupid prompt that wastes tokens: "Play a game of tic tac toe against yourself on a 5x5 board, you need 5 in a row to win." It costs $0.006 on Kimi K2.7, and you get to see the whole raw reasoning trace. GPT…

when i will be extremely bored, I think I will make two models play chess against each other. I bet there's a chess benchmark / llm tournament already somewhere

In fact, you don't even need an LLM tournament when you can have tom7's Elo World tournament: https://www.youtube.com/watch?v=DpXy041BIlA

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#93
post #57

Gotta say, I've lost all interest in cloud-based AI products. Too many cool features and workflows that I was once excited about that I can't or don't use anymore for a variety of reasons (price hikes, subjectively nerfed, disappeared altogether, replaced,...) for me to even remember. It's tiring. I've set up a small rig, mostly settled on Qwen3.6 and I'm slowly adding features myself. It probably can't compete with…

This sounds very appealing. What size Mac mini would I need for that?

Good summary blog: https://maloyan.xyz/blog/running-qwen-locally-mac-mini-m4

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#95
post #46

I am a huge fan of Copilot CLI. It just feels so logical and low-friction to use compared to Claude Code. Having the ability to juggle various models at will is really nice too. ("Plan this using Opus 4.6, let GPT 5.4 verify the plan and give feedback before implementing with Sonnet 4.6"). Unfortunately the June pricing change for Copilot forced me personally as well as my entire department at work to switch to Claud…

Letting them automatically pick the model is no longer sustainable, but there are some very efficient models that are capable of executing the plan created by a much nicer model. It’s kind of embarrassing to think that Microsoft’s auto model selection was choosing cutting edge reasoning models for tasks like resolving dependency conflicts back when their pricing was at a loss.

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#96

I used GitHub Copilot for my VS 2026 development and switched between ChatGPT and Claude. That was before I discovered Claude Code and the Codex app. Copilot was OK for my purposes, and the USD 10 per month fee was enough for my usage. However, last month they introduced a new pricing model ( I know the old pricing was not sustainable), and my USD 10 was exhausted within days. Because of that, I switched to Claude Co…

I had a similar experience moving away from Copilot within Zed. Now using the reasonix harness for Deepseek that makes cache hits almost free. And that's with unsubsidized American providers like Digital Ocean or Cloudflare.

Yep reasonix is an absolute case study of caching. They literally compiled byte level cache in their design and it is insane. i can one shot many workflows, apps in under 0.05 cents.

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#97

Earlier quoted context omitted.

Qwen3.6-35B-A3B-UD-Q4_K_M runs at about 11 tokens/second on my poor old 1060. Absolutely nuts how far we've come

Mind sharing your llama.cpp settings for that?

  .\llama-server.exe -m ..\Qwen3.6-35B-A3B-UD-Q4_K_M.gguf -ngl 999 --n-cpu-moe 41 -c 262144 --port 8081 --flash-attn on --cache-type-k turbo4 --cache-type-v turbo3 --no-mmap --mlock --host 0.0.0.0 -t 8 -tb 8 -np 1
Using this llama.cpp fork https://github.com/TheTom/llama-cpp-turboquant and mostly copying from this video https://www.youtube.com/watch?v=8F_5pdcD3HY

Haven't had much time to test it other than asking a few questions & changing some HTML in cline so it might be thick as a brick for all I know, but still worth trying

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#98
post #46

I am a huge fan of Copilot CLI. It just feels so logical and low-friction to use compared to Claude Code. Having the ability to juggle various models at will is really nice too. ("Plan this using Opus 4.6, let GPT 5.4 verify the plan and give feedback before implementing with Sonnet 4.6"). Unfortunately the June pricing change for Copilot forced me personally as well as my entire department at work to switch to Claud…

> I am a huge fan of Copilot CLI. It just feels so logical and low-friction to use compared to Claude Code. Honest question, can you ellaborate? If given the option, I use OpenCode but what do you find in Copilot CLI that makes you prefer it to Claude Code?

It's a combination of small things really. The mentioned ability to easily call on various models in the same prompt, having agent definitions be able to orchestrate other agents just by mentioning it in the description, doing things like goal/loop automatically.

There is also IMO a distinct difference in "tone" in the dialogue. Claude seems to impersonate a human a bit more than I like.

Claude is of course very good as well and does a few things better than copilot too, but overall I'd prefer to use Copilot.

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#99
For any small team wanting to try Copilot, heed my warning that you will waste hours navigating their billing settings using various out-of-date documentation. Long story short, I finally got an email from them saying that "Copilot Business is available for teams purchasing 10 or more licenses". This is undocumented but other people are reporting the same: https://github.com/orgs/community/discussions/199346

We're sticking with Cursor for now, using Kimi as our daily driver (branded as "Composer").

Re: Kimi K2.7 Code is generally available in GitHub Copilot

#100
post #71

Earlier quoted context omitted.

This sounds very appealing. What size Mac mini would I need for that?

I am curious if you implicitly assumed they are Macs or if that's what you are looking for specifically?

I assumed the 27B dense model would be preferable to a MoE model, and that it wouldn’t fit into a consumer graphics card, which leaves the Macs.

Then I assumed for cost and battery/heat reasons that a Mini would be better than a laptop.

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