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MAI-Code-1-Flash

microsoft.ai

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Re: MAI-Code-1-Flash

#81

Post by kingstnap »

ipsum2 wrote: post #31
ComputerGuru wrote: post #29

Earlier quoted context omitted.

Microsoft has been releasing LLMs for years.

Sort of. Phi models were just trained on GPT outputs though.

For those that don't know about this. Phi was announced with a paper called "Textbooks are all you need". What they did was use GPT 3.5 and created synthetic textbook chapters and exercises.

They also did some more interesting work like showing very small models can be coherent as long as you have very simple children's book style training data (TinyStories is pretty famous).

Lots of these ideas are still used. Learning facts at scale with active reading is an ICLR 2026 paper from Meta AI that does a lot of similar work.

Re: MAI-Code-1-Flash

#82

Post by bel8 »

It's a start and I welcome competition but I don't think I ever used small cloud models like Haiku 4.5. They are cute but for serious coding they tend to waste your expensive time.

And this certainly wont bring me back to GitHub Copilot which I cancelled yesterday.

GitHub Copilot had competitive pricing until yesterday when they changed from per-request to one of the most expensive per-token quotas. Seriously, take a look at their burning subreddit for some laughs: https://www.reddit.com/r/GithubCopilot

I have since changed to DeekSeek Flash on high which is Sonnet+ level for almost free.

If I feel I still need smarter models I might signup for $20/mo Codex to use GPT 5.5 which, in my opinion, is the best I can access right now.

Re: MAI-Code-1-Flash

#83

Post by kristjansson »

camelmel wrote: post #43

Huh, according to that model card this is a 137B total parameter model. Performance doesn't seem that good: - MAI-Code-1-Flash (137B-A5B) = 51% on SWE-bench pro - Qwen3.6-35B-A3B = 49.5% on SWE-bench pro ( https://huggingface.co/Qwen/Qwen3.6-35B-A3B ) They benchmark against Claude Haiku but Haiku is not good, it's worse than tiny open models you can run locally or via API at 10% the cost.

> 137B-A5B

Yeah, not a 5B param model as the earlier title implied!

Re: MAI-Code-1-Flash

#85

Post by OsrsNeedsf2P »

throwaw12 wrote: post #36
hootz wrote: post #9

I'd love to see a tokens per second metric. I always prioritize speed over raw intelligence for flash models.

> I always prioritize speed over raw intelligence for flash models. This model might have a perfect speed: for i in range(100): print(random.choices(words))

Leave it long enough, and it'll print the work of Shakespear!

Re: MAI-Code-1-Flash

#86

Post by lanthissa »

hmokiguess wrote: post #33

Does anyone actually uses these smaller models for coding? If so, how? I usually Opus everything. Is the play to plan/design/architect with a heavier model than delegate structured tasks to these smaller ones? Would appreciate to hear someone's opinion on having done and tested both paths.

i used to use opus for everything, thats not an option once you move to a multi agent system unless you're working on like high end research. I could easily spend 3k a day if i was using opus as just a normal dev.

As we build a better and better harness and better feedback/verifiers we're switching more to 3.5 flash. I think chinese models would work too, but we cant use those atm.

Generally theres a coordinator running opus and an ever growing set of skills and subagents that take actions using weaker models and output feedback to the coordinator opus.

I'm pretty convinced at this point we're past the level of intelligence needed for most tasks most devs do and that will trend down as we better build harnesses for our own codebases.

Re: MAI-Code-1-Flash

#89

Post by 0123456789ABCDE »

hmokiguess wrote: post #33

Does anyone actually uses these smaller models for coding? If so, how? I usually Opus everything. Is the play to plan/design/architect with a heavier model than delegate structured tasks to these smaller ones? Would appreciate to hear someone's opinion on having done and tested both paths.

>Is the play to plan/design/architect with a heavier model than delegate structured tasks to these smaller ones?

always has been

claude code has opusplan — uses opus while in plan mode, switches to sonnet for execution.

https://code.claude.com/docs/en/model-config#opusplan-model-...

edit: you can make it work with sonnet for planning, and haiku for execution, or any other combination you fancy to work with.

https://code.claude.com/docs/en/model-config#control-the-mod...

Re: MAI-Code-1-Flash

#90

Post by scotty79 »

hmokiguess wrote: post #33

Does anyone actually uses these smaller models for coding? If so, how? I usually Opus everything. Is the play to plan/design/architect with a heavier model than delegate structured tasks to these smaller ones? Would appreciate to hear someone's opinion on having done and tested both paths.

In DeepSWE anything from Antropic is a whole class lower than what's achievable with gpt-5.5

So by using Opus you are using "smaller" model. Well, not really smaller, just worse. The actual smaller models can at least be faster.

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