Birbla

Discussion summary

GitHub Copilot's code is accessible via GitHub, with ongoing rollout for features like zero-retention options for annual plans. The inference runs on Azure servers, potentially in China, raising privacy concerns.

What the discussion says

  • Some users are concerned about the availability of zero-retention options for annual plans.
  • There is discussion about the inference servers' locations and privacy implications.
  • Microsoft's AI integration appears to be positively impacting revenue.
“It seems it will not be available to annual subscriptions.”
— theanonymousone
“Inference is run by Moonshot, probably in China.”
— tiredOfLife

Join the discussion

Write your take first — we'll ask for email only when you're ready to publish.

Sign in
  • Hacker News
  • Looks like it’s the same price on Fireworks AI?

    https://fireworks.ai/blog/kimi-k2p7-code

    I don’t know much about them but they did a deal with Microsoft in March:

    https://azure.microsoft.com/en-us/blog/introducing-fireworks...

    by skybrian
  • https://docs.github.com/en/copilot/reference/ai-models/model...

    Says that they are run by Moonshot

    by TiredOfLife
  • When will DeepSeek be available?
    by impact_sy
  • The V4 models are already in the Azure AI foundry so maybe a good chance of it coming.
    by pkaye
  • Odd that AWS Bedrock has very poor support for such models. They only have Kimi 2.5, qwen 3 coder, DeepSeek V3.2, GLM 5. So none of the newer models.
    by jackbravo
  • Wonder if this is a product decision or rather a limitation on GPUs. Their Inf2 instances require AWS Neuron [1]. Maybe porting models to run on their hardware takes too much time.

    [1] https://aws.amazon.com/ai/machine-learning/neuron/

    by hrpnk
  • 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team wanting to try Copilot, heed my warning that you will waste hours navigating their billing settings using various out-of-date documentation.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").

    by boronine
  • Who really cares? The model multipliers and the artificial currency were the final nail in the Github Copilot coffin.
    by SeriousM
  • Enterprises still have big contracts with github, those companies are imposing tight spending limits now and if the open weight models enable those limits to last a bit longer that's probably quite popular.
    by sognetic
  • Is GitHub Copilot the best positioned platform for enterprise? They support Claude, GPT, Gemini, and now even open weight models. Larger orgs are paying at API rates anyway so it costs just as much as anywhere else. They have a pretty good agent CLI and SDK, and now a desktop app. They have hosted agents, and you can run their 'Agentic Workflows' in CI.

    Has their reputation tanked so much that the alternatives get all the buzz? Or is it that non-enterprise users are priced out by the usage costs, so no free marketing?

    by scriptsmith
  • Their harness is terrible compared to any of the other cli based harnesses I test against. Like shockingly bad.

    This comes up all the time at work because the vendor management people don’t understand the llm ecosystem and think Claude through copilot is the same as Claude through Claude code.

    A simple side by side comparison will show dramatic under performance 3 or 4 times out of five when I’m asked to explain the difference.

    by kasey_junk
  • For some reasons compilot seems dummer than vscode Claude or vscode codex. I can’t tell what’s the exact reason but it didn’t feel right
    by theplumber
  • They were, until they decided to commit suicide for the service.
    by attentive
  • We just cancelled everyone's plans and rolled liteLLM out internally. We kept it for the insanely cheap tokens, but now that they've switched to the new pricing, they're just like openrouter, just with far fewer models.
    by lbreakjai
  • The rugpull with the pricing change without further notice was not taken kindly by enterprice.
    by gunalx
  • Yes significantly cheaper to run compared to the other models, tried it for an hour yesterday and the results look promising.

    Saw in a discussion on Reddit that the team is evaluating glm5.2 so hopefully more to come!

    by mmusc
  • 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-5.4 mini costs $0.016 and its summarized.

    And in case you are wondering both play incredibly stupidly.

    Kimi:

          A   B   C   D   E
  1   .   .   .   .   .
  2   .   .   .   .   .
  3   X   X   X   X   X
  4   .   O   O   O   O
  5   .   .   .   .   .
    GPT 5.4 mini:

      1: X X X X X
  2: O O . . .
  3: . . O . .
  4: . . . O .
  5: . . . . O
    by kingstnap
  • 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
    by asimovDev
  • While LLM models are bad at games, they are perfectly capable of writing a RL agent to train on the game itself.
    by a_c
  • Nice idea. I just asked Haiku to do the same in Claude Chat on iOS: it created a interactive react game, implemented the rules and let it play. Clever move for 1$ input and 5$ output, Anthropic!
    by ubanholzer
  • Btw if anyone is wondering, GPT 5.5 does the same garbage as 5.4 mini for 4 times the cost.

    Fable manages to make a reasonable game, at a cost of 40 cents.

      X X O O O
  O O X X X
  X X X O O
  X O O X O
  X O X X O
    by kingstnap
  • Finally an alternative to the big dogs that a company can use. People have been asking for a way to run the Chinese models from a trusted provider. Here GitHub delivered!

    The performance, if we trust the benchmarks, put it at Sonnet 4.6.

    Let’s see if it’s worth it with GitHubs pricing.

    by andhuman
  • > People have been asking for a way to run the Chinese models from a trusted provider

    I'm going to be called a chiller again, but at this point I don't care as it is relevant. Synthetic runs their own models for a reasonable price, GLM5.2 & Kimi K2.7-Code included.

    Referral link :

    https://synthetic.new/?referral=kwjqga9QYoUgpZV

    by w4yai
  • > The performance, if we trust the benchmarks, put it at Sonnet 4.6.

    I don't trust these benchmarks. I used a number of times Kimi K2.7 and I was disappointed. It would run in circles for things that Claude would do in one shot. However, my usage was via Ollama cloud, and I have no idea if they serve the actual model or a quantized version, and it was the quantization that degraded the performance.

    The great news, in my opinion, is the precedent. If Microsoft is now serving Kimi K2.7, then very soon they might start serving GLM 5.2, and that is indeed a very competitive model.

    by credit_guy
  • Microsoft needs to offer cheaper option since they change to token based billing. GPT-5.4 used to be x1 for yearly subscriber but now it cost 6x. i run out the premium request for just couple prompts. Github copilot for $10 used to be the best value since you get all the US AI labs model for cheap.
    by MangoCoffee
  • 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 Code and Codex and have never looked back. Yes, tokens on Claude Code and Codex are subsidized heavily, but let's just enjoy when good things last.

    I do feel there is a difference between using Claude via Copilot versus using Claude directly in Claude Code. I'm not sure what Microsoft is doing behind the scenes.

    by nsoonhui
  • GitHub Copilot costs have ballooned in recent week, what once took $100 requires $300. I like using Claude with VS Code through Copilot and I feel it’s given me much better code, that I can control the quality. It’s much more transparent than Claude Code. It’s open source but and the IDE interface gives so many more features to have you context and control over whats generated. The increase in cost isn’t purely due to their price increases but also the Opus models agents use more tokens. So I’ve moved to Claude Code and I’m happily still using Opus 4.6. Fable and 4.7 seem to do much larger units of work, go off on tangents and make assumptions that frequently results in slop.
    by seanieb
  • Same ,I switched to cursor. I told it how to invoke msbuild and it can edit away without needing a native Visual studio plugin.. no problems at all. Target language c++
    by happyweasel
  • My copilot quota finished in maybe 2-3 prompts with claude 4.8 opus. i was expecting it to suck but not this bad. it was good while it lasted though
    by altmanaltman
  • 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.
    by arikrahman