And why should one prefer GitHub Copilot over OpenCode? Worse harness, more expensive prices, unreliable product strategy, limited model support, the list goes on.
Legacy corps on the Microsoft steamboat.
Kimi K2.7 Code is generally available in GitHub Copilot
131–140 of 201 posts
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#132Earlier quoted context omitted.
> they should have waited until the competition changed their prices first. They did... They're literally just passing on the costs https://platform.claude.com/docs/en/about-claude/pricing Anthropic just provides a subscription - which Enterprise usually doesn't want you to use because everything you're submitting through that will be trained on / becomes part of their model. So If you use it without explicit permiss…
> Anthropic just provides a subscription - which Enterprise usually doesn't want you to use because everything you're submitting through that will be trained on / becomes part of their model. My Pro account very clearly has a toggle for "Help improve our AI models: Allow the use of your chats and coding sessions to train and improve Anthropic AI models."
Which they may or may not adhere to
> Our use of Materials [...] Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to us regarding any Materials, or (2) your Materials are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance our safety research.
The last part is essentially a catch all, which let's them train on everything they want - and they probably are.
But the important bit here isn't actually wherever they're actually training on it - that doesn't matter from the legality aspect of it. You're liable anyway, as all contracts I've ever signed explicitly forbid me from sharing internal data of any kind (including code) with third parties.
You can be prosecuted just from using it - wherever anthropic decides to train it's model on it or not.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#133I 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 ran out of claude credits for the first time at work in months and had to fallback to copilot. pleasantly surprised, claude's way ahead in tooling but the ability to designate what model your subagents use and having access to all models is a better feature than all of what claude offers combine atm. The only limit on the amount of ai can consume in a month a work is dollars, so anything that helps with cost is the…
You can tell Claude Code which model to use for subagents.
For example: https://github.com/monooso/dotfiles/tree/main/.claude/agents
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#134Earlier quoted context omitted.
Qwen is the Alibaba distilled Anthropic Claude model So piracy on an by piracy trained ai model..
I'm not sure what you're trying to say. Is that a good or a bad thing? Model distillation is presumably part of the reason why Qwen is so good, yes. As a consumer, that's a good thing I would say. It's a natural counterbalance to the monopolistic tendencies of other tech segments. If you have ethical concerns, model distillation feels like an arbitrary line to draw. Why is the first type of piracy ok, the second not?…
Are you saying 2 wrongs make a right
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#135I 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…
The price hike was insane. My $dayjob is moving away from Copilot and into Claude Code subscriptions. In parallel we are testing AWS bedrock and Deepinfra for open weight models in preparation for when CC inevitably stops being such a good deal and aligns with actual token cost. Fun times.
The price hike was insane yes, but because they were eating the price difference. How exaclty does moving to a Claude sub is better, when it's actually more expensive ?
At my company we did the comparison and Copilot still wins: for 20$ you get a seat and 20$ of usage, whereas with Claude enterprise you get a seat and then usage is completely added. Moreover usage in Copilot is exactly the price of the providers AND it allows us to use various models from multiple providers.
The case that might be less expensive is if you negociate a volume discount with AWS for Bedrock usage, but that is also possible with GitHub and Microsoft.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#136Earlier quoted context omitted.
I'm not sure what you're trying to say. Is that a good or a bad thing? Model distillation is presumably part of the reason why Qwen is so good, yes. As a consumer, that's a good thing I would say. It's a natural counterbalance to the monopolistic tendencies of other tech segments. If you have ethical concerns, model distillation feels like an arbitrary line to draw. Why is the first type of piracy ok, the second not?…
Are you saying 2 wrongs make a right
I'm saying, either you have a problem with the copyright issues related to AI training or you don't. If you do, neither Qwen nor Claude are acceptable, if not then both are. They have similar moral standing to me.
Btw, ethically sourced, open source LLMs exist! Check out eg Olmo by Allen AI: https://allenai.org/olmo
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#137Earlier quoted context omitted.
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.
dense models are (more) compute heavy, so are generally worse to run on mac. mac tends to be better for (larger) MoE models.
27B dense can fit on a consumer graphics card. Even without getting into various "intrusive" ways to shrink the size of a model (e.g. REAP), something like a NVFP4 quant of Qwen3.6 27b
https://huggingface.co/nvidia/Qwen3.6-27B-NVFP4
should fit within ~22GB of VRAM. So easily on a 5090. It would also fit on a 3090/4090, but iirc they don't have NVFP4 natively, so you would want a different quant for them.
you can see /r/LocalLLama for some discussions. See this (random) post about Qwen3.6-27B on a 3090 at ~100 tok/s
https://www.reddit.com/r/LocalLLaMA/comments/1ujo46r/qwen_36...
Note that it is possible you could still do this stuff with a mac, as there are ways of hooking up a eGPU to macs and using it for inference. My understanding is they're all fairly hacky though, so it would likely be preferrable to just get a 3090 (or a non-nvidia option, e.g. an AMD r9700 pro has ~32GB of VRAM for much cheaper than a 5090.
https://www.reddit.com/r/LocalLLaMA/comments/1u50hnm/qwen_27...
that seems considerably slower though (~30 tok/s). I don't know if that's an outlier/misconfigured setup or what. In general there will be much better resources for local setups using 3090s, as they're quite popular. Note that 3090s (but not 4090s nor 5090s) have NVLink, so you can network the cards fairly effectively. For this reason 2x 3090 setups are fairly popular as well. I've heard that club 3090 makes that relatively straightforward
https://github.com/noonghunna/club-3090
but don't have experience myself.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#138A very sharp slap in the face of those of us who kept our annual plans and didn't ask for s refund: It seems it will not be available to annual subscriptions.
where does it say that? its not available to me (also annual) at the moment via cloud but it said it is rolling out gradually, so I'm not too concerned. Tho I'm not overly excited either given Copilot pricing now; I reckon this should be at most 1x.
They say it here: https://docs.github.com/en/copilot/reference/copilot-billing...
But then again they released MAI despite this, so I don't know.
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#139Earlier 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
I tried running any model on my 1070 and it instantly crashes my old tower, probably time to get off windows and run linux on it.
Sounds like a hardware issue, though NVIDIA driver issues can't be ruled out, they're much rarer these days
Re: Kimi K2.7 Code is generally available in GitHub Copilot
#140Earlier quoted context omitted.
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…
I just tested it with some risc-v code and it wrote down a "mov" instruction several times.. yeah something needs tuning maybe