MAI-Code-1-Flash is now available for GitHub Copilot #197306
Replies: 37 comments 46 replies
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More than interested to try when it comes out. But what about the full fledged Thinking version? |
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Definitely looking forward for the new MAI models to land on Business/Enterprise accounts! |
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Is it going to be available to download and run completely offline on my own hardware with the full fledged Visual Studio 2026 IDE? If they don't want to lose, even more developers from their ecosystem other platforms, they should either release it public to be downloaded on hugging face to allow us to run it locally on the developer's machine or at least release a full version of it built-in into VS 2026 able to run local and for free. Another option could be a variant of this model that allow at least full agentic programming with .NET only, with the goal do run it locally and Free (at least for .NET) it will be the only effective way to contain the competition to defeat you) you're otherwise the competition might defeat you. |
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Why no business or Enterprise? :( |
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WHy not Visual Studio? |
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Will it be uploaded to hugging face? |
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Put it up on OpenRouter so we can try it, please - and so we can see how much it really costs. |
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This is looking great! Would love to try it out and benchmark it in Plotly Studio for data visualization and analytics workflows. Will this be available as an API on Azure or Open Router? Or only integrated in product suites? |
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Why are business/enterprise users not supported? |
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When can we get this in regular Visual Studio? About to dump tooling due to the 20x-30x increase in costs with GitHub Copilot and this is maybe the only thing that would save it. |
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Eager to try this - I need a replacement for Claude Haiku 4.5 - and this looks like the sweet spot. When will it be available? I am on the Pro+ and already 2 day has passed 🐌 |
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I don't see MAI in my ghcopilot business. Is this expected? |
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When will MAI be available for Enterprise GitHub Copilot? Why are business/enterprise users not supported as yet and how long will it take before we get it? |
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Could it be that "available" just means "for inline code completion", but if never shows up in the models? |
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I've found that models works best if you use the model to create custom agents -- the way instructions are worded can make a big difference to how well a model works. After having Mai create a custom subagent for editing C++23 code, I had a frontier model look at a fairly complex C++ project of mine and come up with three moderately difficult tasks for agents to create new src/hdr files that required reading and understanding one or more class header files in the project. I use DeepSeek V4 Flash with high thinking as my workhorse since it outperforms Sonnet 4.6 that I used to use. So, I had my frontier model run a V4 Flash thinking model and Mai-Code-1-Flash model with the identical task using each of the custom sub agents written specifically for the model they ran on. First run, Mai didn't use C++23 standards as instructed, nor did it follow coding practices in the rest of the project. I made some minor tweaks to the custom model instructions, and ran the tasks again and those problems went away. On one of the tasks, the header files were byte-for-byte exactly the same. The logic was identical in all three tasks. Mai was slightly more conservative about pointers, so it wrote a bit more code to prevent using potentially null pointers (in this case the pointers could never be null, but I appreciated the extra caution anyway). Watching Mai work with the Agent Debug Log up is quite impressive at how fast it calls and processes tools. It is still more expensive to user per task then DeepSeek V4 Flash as long as you don't count your time, or you are able to switch off to a different project so that you can keep working. The 264K context window means it won't run as long as V4 Flash with it's 1 million context window, but as an everyday workhorse, it can certainly keep up with Sonnet, V4 Flash, and GPT-4.1 -- at least in my experience so far. A caveat to this review is that while throwing some moderately difficult real-world tasks at it is a valid comparison, I have yet to use it enough to truly understand where it's weaknesses are. I also have no idea how well it works with standard VSCode agents versus my highly customized agents -- so that might also be why it's working well for me, and might not work as well for people just using copilot out of the box with no customization. |
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So it is being released on more Copilot surfaces, but Business and Enterprise is still coming soon? What is the use waiting this long as by the time it gets to Business and Enterprise its old news and out of date, waiting for upgrade version then? |
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Does this model break upon having the token "autism" in its context? Please could I test it? ^__^ |
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Definitely looking forward for the new MAI models to land on Business/Enterprise accounts! |
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To all those mislead by the wealth of articles claiming it is a 5b model, the model is actually a 137a5b more model. |
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Useful for small tasks. But quite slow response in peak hours. |
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I finally have MAI-Code-1-Flash in my Enterprise account. It became available today. Looking forward to taking it for a spin. |
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Is there any data retention for this model and using customer data to learn? |
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Update: MAI-Code-1-Flash is now generally available for GitHub Copilot Business and Copilot Enterprise. https://github.blog/changelog/2026-06-26-mai-code-1-flash-for-copilot-business-and-copilot-enterprise/ |
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From my limited experience with this model, it seems it struggles a lot with Plan mode. Prompting in plan mode triggers a infinite-loop-like thinking process that drains credits at an incredible high speed while not producing any real results. I am curious if anyone else is experience this 🤔 |
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Great update! Having a fast, low-latency coding model is a welcome addition for everyday development. Looking forward to trying MAI-Code-1-Flash and seeing how it performs in real-world coding workflows. Thanks for sharing! |
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MAI-Code-1-Flash, Microsoft AI’s in-house coding model, is now generally available across GitHub Copilot. Purpose-built for coding and optimized for GitHub Copilot, MAI-Code-1-Flash delivers fast, low-latency responses that make it well-suited for high-volume, iterative agentic coding workflows where speed and efficiency matter most.
This model is billed at provider list pricing under usage-based billing. See Copilot’s pricing for models and requests for details.
Enabling access
Individual users can select the model in the model picker in Visual Studio Code and other supported Copilot surfaces. Copilot Enterprise and Copilot Business plan administrators must enable the MAI-Code-1-Flash policy in Copilot settings before users can access it. See Managing policies and features for Copilot in your enterprise.
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