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 Claude. I don't even know, I've stopped checking. It's providing a ton of value to me as is, and it only keeps getting better. All it takes is to realize that it doesn't actually matter if the grass is (maybe even objectively) greener somewhere else. Feels so good to know that it won't change under my feet. I've got this amazing, highly extensible tool, and it's mine.

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 Claude Code. With copilot we were hitting a few dollars of extra spend over the included credits in April and May, then in June we started chewing through the monthly budget every 2-3 days.

Just a completely insane price hike from the customer's perspective, I don't know what MS were thinking there.

Even if that is the price they need to be sustainable they should have waited until the competition changed their prices first. I wouldn't be surprised if Copilot lost 50% or more of their customer base last month.

Eventually this could be where all the major players set their prices, so the thought occurs to me that nations should run some form of "public access AI", just like they did for TV. Use the free open models and use tax money to finance a few datacenters. Geo-lock the use and set strict throttles to manage load, but let school children and citizens use that AI freely otherwise.

If Copilot's pricing is the level for all AI in a few years, only the unicorn companies can afford to use them, and everybody else has no chance of competing with a company that can use AI.

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.

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.

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

Much better value by using K2.7 Code with GitHub cli via opencode subscription - at $10/month gives you $60 worth of usage (for now) - you get $5 usage credits per day (with some weekly / monthly limits)

ps opencode cli is quite nice too

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").

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!

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?

Who really cares? The model multipliers and the artificial currency were the final nail in the Github Copilot coffin.

When will DeepSeek be available?

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...

And why should one prefer GitHub Copilot over OpenCode? Worse harness, more expensive prices, unreliable product strategy, limited model support, the list goes on.

What's the credit cost compared to Gemini, Claude and GPT? As others have said, the last month price update killed copilot for good.

Competition in coding models has gotten intense. A year ago it felt like choosing between two options. Now the bigger question is which model to route each task to.

When will GitHub Copilot support integrating custom models?

Where is the inference running?

A 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.

Unlike Google, the AI wave appears to deliver positive revenue impacts for Microsoft.

The company does need to integrate the new AI-human-machine interface into its application development SDKs.

Is there a zero-retention option?

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