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MAI-Code-1-Flash
https://microsoft.ai/models/mai-code-1-flash/ https://microsoft.ai/models/mai-code-1-flash/
https://microsoft.ai/pdf/MAI-Code-1-Flash-Model-Card.PDF https://microsoft.ai/pdf/MAI-Code-1-Flash-Model-Card.PDF
Launching seven new MAI models: https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/ https://microsoft.ai/news/building-a-hillclimbing-machine-la...
- OsrsNeedsf2P 4mo agoSo it's trained on the SWE Bench Pro evalset
- lemonish97 4mo agoWhat is your evidence for this claim?
- fooker 4mo agoThey say hill climbing https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/ https://microsoft.ai/news/building-a-hillclimbing-machine-la... Unless they specifically clarify that the testing and training benchmarks are completely separate, we have to assume they test on the same 'hill' the model climbs.
- ajyoon 4mo ago[flagged]
- jongalloway2 4mo ago[dead]
- artemisart 4mo agoHill climbing doesn't mean much but absolutely doesn't imply they cheat on benchmarks. They have more details here https://microsoft.ai/news/introducing-mai-thinking-1/ https://microsoft.ai/news/introducing-mai-thinking-1/ it seems to be "RL on everything".
- deleted 4mo ago[deleted]
- topsycatt 4mo agoThat's not accurate. Take a look at the paper to see what it is trained on! And specifically decontamination is called out in A.4 https://microsoft.ai/wp-content/uploads/2026/06/main_20260602_2.pdf https://microsoft.ai/wp-content/uploads/2026/06/main_2026060...
- AntiRush 4mo agoThe introductory blog post has a lot more information https://microsoft.ai/news/introducingmai-code-1-flash/ https://microsoft.ai/news/introducingmai-code-1-flash/ and the model card https://microsoft.ai/pdf/MAI-Code-1-Flash-Model-Card.PDF https://microsoft.ai/pdf/MAI-Code-1-Flash-Model-Card.PDF The broader announcement of 7 MAI models seems to be where the 5B active in the title comes from https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/ https://microsoft.ai/news/building-a-hillclimbing-machine-la...
- dang 4mo agoThanks! I've changed the top link to the blog post and put the other links in the toptext.
- fooker 4mo ago[flagged]
- onlyrealcuzzo 4mo agoGemma 4 26B-A4B scored exceptionally well with 20% less params, so this isn't unprecedented.
- hootz 4mo agoI'd love to see a tokens per second metric. I always prioritize speed over raw intelligence for flash models.
- throwaw12 4mo ago> 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))
- OsrsNeedsf2P 4mo agoLeave it long enough, and it'll print the work of Shakespear!
- capten 4mo agoIt's so weird to me that the benchmarks remain so low, but the models are marketed as revolutionary. And if you say that low coding capabilities aren't a problem, say that to the token price hike and 'general use' model setup. Why not sell it as a math agent? Why do I have to set up 4 agents to check each others' work?
- redrove 4mo agoIt’s about bang for buck. That high a score for 5B params is pretty good, nigh unbelievable a short while ago. It is my belief that smaller models will get better and better, and even cloud SOTA models will shrink. Yet another reason the current buildout will feel like the railroads.
- Flere-Imsaho 4mo agoYeah the future is probably a number of highly specialised small models you can run on your own hardware rather than massive frontier models in the cloud. That's what I'm betting on anyway.
- thewebguyd 4mo agoThat seems to be what Microsoft is betting on also based on what was shown at the BUILD keynote today + that new surface ultra and the surface mini PC with the new Nvidia chip. Nadella really played up local AI as the main use case they have in mind.
- search_facility 4mo agoMOE basically work that way already, QWEN/etc with low active params (A-number in name) allows to inference big models locally (only active params have to fit into memory)
- girvo 4mo agoStep 3.7 Flash on my Asus GB10 based mini pc is incredibly close to that today. I’m very impressed, and that’s without MTP to boost performance
- ajyoon 4mo agoScroll wheel hijacked on this entire domain
- matchbok3 4mo agoYeah this website is horrendous to use. What were they thinking?
- BadBadJellyBean 4mo agoYou mean "what was the LLM thinking?"
- infraredshift 4mo ago[dead]
- grav 4mo agoFix: (() => { const KILL = ['wheel', 'mousewheel', 'DOMMouseScroll', 'touchmove']; const block = e => e.stopImmediatePropagation(); for (const t of KILL) { window.addEventListener(t, block, { capture: true, passive: true }); document.addEventListener(t, block, { capture: true, passive: true }); } document.documentElement.classList.remove('lenis','lenis-smooth','lenis-scrolling','lenis-stopped'); console.log('Scroll hijack disabled — native scrolling restored.'); })();
- sethops1 4mo agoThe fix is to close the tab.
- tosh 4mo agonot open weight or at least I did not find anything indicating open weight
- ggcr 4mo ago:( I was hoping Microsoft would make it open weights, as they have done for years with the Phi models. The era of big tech releasing models into the wild might be over, which IMO is counter-productive, as we are shifting from "the model is the product" to "the harness is the product"
- adrian_b 4mo agoTomorrow NVIDIA will publish Nemotron 3 Ultra, which will be the biggest open weights LLM from a US company (550B parameters). The early testers have confirmed that it is much better than all earlier US open weights models, but it is not as good as the best Chinese open weights models. While Nemotron 3 Ultra is not the smartest open weights LLM, it is well optimized for fast inference, so it is much faster than the other LLMs of the same size. In any case I believe that it is very good to have an additional option in big open weights LLMs, because until now all existing models have shown that even if some model is definitely better on average than another, the weaker model can still be better in some particular applications. With open weights models, you can afford to try multiple LLMs for the more important tasks and then choose the best solution.
- HarHarVeryFunny 4mo agoNVIDIA seem to be following a smart Intel-like strategy of selling chips and also creating software that helps create demand for those chips. With Intel it was things like MKL, IPP, OpenCV etc, and with NVIDIA it is not just CUDA and development libraries but also models like Nemotron. The pure-AI companies like OpenAI and Anthropic are hoping to sell you API access to cloud-based AI, perhaps running on NVIDIA chips, but it seems NVIDIA's plan may be for you to run local AI, maybe from NVIDIA, running on local NVIDIA chips.
- anthonypasq 4mo ago> it is well optimized for fast inference do you have any insight into the actual technical details that make this sort of things possible? I want to learn more about model architectures. Does it have to do with attention mechanisms or sparsity or something?
- freediddy 4mo agois 51% good enough to reliably use? There's no world in which I use an AI agent where it gets even 15% of the code wrong, that's as bad a Tesla FSD where you need to pay attention to the road while engaging FSD. What's the point? My attention is what I'm trying to relieve, not mostly correct functionality. The only thing that matters is whether you can one-shot code like Claude or Codex, I'm not interested in a small but mostly-okay-but-annoyingly-buggy-every-now-and-then AI.
- VygmraMGVl 4mo agoClaude opus 4.6 scores 51.9% on the same benchmark. Microsoft's result is quite good.
- IanCal 4mo ago51% does not mean it randomly gets things wrong half the time. These things can be useful if you can accurately predict which tasks they will reliably do, and which they will usually fail on. Then you can get much more reliable work from them.
- bguberfain 4mo agoIt is good to se big companies like Microsoft launching LLMs. They have large amount of compute power and good scientists to create useful models.
- ComputerGuru 4mo agoMicrosoft has been releasing LLMs for years.
- ipsum2 4mo agoSort of. Phi models were just trained on GPT outputs though.
- not_a_bot_4sho 4mo agoBy design. The whole point of Phi is the "textbooks is all you need" theory on curated training data, as opposed to kitchen sinks.
- kingstnap 4mo agoFor 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.
- jwitthuhn 4mo agoAnd occasionally un-releasing them like with WizardLM.
- lemonish97 4mo agoThey were mostly distilled or fine-tuned OAI models.
- mattlondon 4mo agoComparing against Claude 4.5? Aren't we up to 4.8? But disingenuous?
- 0vermorrow 4mo agoLatest Haiku (smallest Anthropic Model) is version 4.5, they haven't released a new version, hence the comparison to that.
- klardotsh 4mo agoThey're comparing to Haiku, not Opus. Haiku is currently at 4.5. Even if it were Opus, comparing to a version number makes for an interesting snapshot of time comparison: if you knew how a model performed at whatever time in was in vogue, you can say "well, it looks like Model X is about 6 months/1 year/etc. behind the frontier SOTA" - which is exactly the discussion that happens in the open-weight/local LLM space. (interesting, MAI-Code-1-Flash does not appear to be such an open-weight model, following the western trend of locking models up)
- mentos 4mo agoShouldn’t the next model focus not be on code but system design? Seems like the work from a good system design to code is practically solved. Now it’s a matter of the design of the system. Or is that represented in these evals?
- dist-epoch 4mo agoHave you tried system design with LLMs? I find them pretty good at suggesting 5 architectures for a problem and then iterating on the solutions. Even if I had no idea, going with the default suggestion would not be a terrible mistake, assuming you did describe your requirements relatively well.
- Ozzie-D 4mo ago[flagged]
- vancekai 4mo ago[flagged]
- LoganDark 4mo ago"Clean data" is impossible. Language models have polluted the landscape to such a degree it's impossible to filter them out now. OpenAI has no doubt discarded or muddled their dataset that was used to train the original ChatGPT, so there may be no dataset in existence now that isn't contaminated.
- hmokiguess 4mo agoDoes 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.
- ojr 4mo agoI use Gemini 3 Flash, I've seen the Claude Code setups, bullish on Anthropic people are driving up tokens but I am able to produce outcomes with a fraction of the money.
- hmokiguess 4mo agoDo you mind sharing your workflow? What do you mean by fraction of the money, in my case personally, I'm yet to reach a session limit on the subscription plan. I'm not "tokenmaxxing" as they say, so hard to see a scenario in which the plan is expensive for the value I get.
- dist-epoch 4mo agoIf you don't hit a limit running Opus, it means you are very much in the loop. For example you probably don't have days where you ask Opus to review your whole code base and look for code duplication/technical debt/robustness issues, and then to fix some of the found issues, and do this 3-5 times until no big issues are found anymore.
- hmokiguess 4mo agoWhat’s your prompt for this, the way you described it made it seem like there’s a generalizable way I can go about this. I just rely on a testing pipeline instead so can’t think of why I would need to proactively find holes where tests haven’t already done that for me.
- dist-epoch 4mo ago
- gslepak 4mo agoWould be cool if this were an open model.
- cainxinth 4mo agoClaude Haiku 4.5 results with 60% fewer tokens. Sounds good, but they don't list token costs.
- striking 4mo agoTo be clear about the size of the model: MAI-Code-1-Flash is 137B A5B.
- camelmel 4mo agoHuh, 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 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.
- deleted 4mo ago[deleted]
- giancarlostoro 4mo agoThe take away is that this model is a smaller model that competes with Haiku, I would hope they come out with a "Sonnet" competing model, then Opus. I have been wondering why Microsoft is kind of "sleeping" on offering models they themselves have made on Copilot, maybe it was part of their deal with OpenAI? Not sure.
- minraws 4mo agoThey did release, MAI-Thinking-1 to compete with Sonnet. Totally not sure why that isn't at the top here.
- giancarlostoro 4mo agoGood question, and I missed that entirely!
- lostmsu 4mo agoCompete? It is behind Kimi K2.6, which is in turn away behind Sonnet.
- ignoramous 4mo agoCan't yet use MAI-Thinking-1? [0] And no indication of it being made available in GitHub Copilot, either. [0] Not even here: https://playground.microsoft.ai/ https://playground.microsoft.ai/
- efields 4mo agoPlease test your websites in Safari. Almost all of your iOS users use it by default, and the desktop experience is pretty close to the mobile experience, so testing is easy. That scroll effect is jank city for me (yeah yeah works fine in Chrome/Edge).
- whalesalad 4mo agosome kind of scroll hijack going on for sure, feels terrible on firefox+macos
- HDBaseT 4mo agoI instantly close websites which use this weird scroll hijacking and slow animation nonsense. Let me slide as fast and unrestricted as I want. I do not want to "transition" to the next paragraph. This trend needs to stop.
- jMyles 4mo agoI'd really like to get back to an autocomplete flow, ideally with some shared and optimized context with the relationship with my larger agent models. But it seems like, by and large, even the faster models are now aimed at longer-running agentic flows and not sub-1s autocomplete. Or am I wrong about that?
- verdverm 4mo agoYou aren't wrong, the field is moving to a world where we do less in the code editor, so autocomplete is not needed any more. I've only manually edited code a few times in the last month. Haven't used autocomplete in 6+ months since I left Copilot to build my own agent harness (I'm now mainly using OpenCode)
- zb3 4mo agoSo it's not an open model while not being much better? Meh.
- ghord 4mo ago[dead]
- mmaunder 4mo agoYou lost me at forced scrolling. Ugh!
- Tepix 4mo agoFrom https://news.ycombinator.com/newsguidelines.html https://news.ycombinator.com/newsguidelines.html Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting.
- kylehotchkiss 4mo ago"superintellegence team" Why not assign them to make windows good :D
- Marciplan 4mo ago"Build for developers, not benchmarks" Shouldn't that be.. Built?
- giancarlostoro 4mo agoMark Zuckerberg must be in crisis. Microsoft releasing models that compete with Claude's models. Meanwhile the only thing anyone knows about Mark's models is that they help you get hacked more easily.
- yuppiepuppie 4mo agoWait… I think he has moltbook IP as well that he can scale up. Seriously tho, wtf is going on over at Meta? Anyone working there currently want to describe the vibe of the org when it comes to being a frontier company?
- giancarlostoro 4mo agoI don't understand his plan, if I were him I'd either have just gone all in on making RAM which would become very lucrative, or would have focused on building programming models. They've built some key open source technologies, but its as if Mark Zuckerberg cannot run anything that isn't a social media company / project.
- ggcr 4mo agoMeta recently launched Muse Spark [1] and they themselves compare against Claude Opus 4.6 Max. Here Microsoft is comparing against Claude Haiku, the smallest and least capable model from Anthropic. [1] https://ai.meta.com/blog/introducing-muse-spark-msl/ https://ai.meta.com/blog/introducing-muse-spark-msl/
- hashmap 4mo agoi have had good results adding muse spark's contemplate mode as a roundtabler for complex questions. but you cant turn off their data ingestion for training so that is a shame.
- deckar01 4mo agoIf only they had launched that yesterday I might have avoided Copilot auto model selection using a 9x model, quietly burning my monthly quota in a single afternoon.
- bel8 4mo agoIt'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 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.
- verdverm 4mo agoI've been having really good results with DeepSeek-v4-flash, qwen-3.6-moe, and the older gimini-3-flash-preview. (recent geminis suck hard) Small models are more than enough for the majority of tasks these days. Plan and review with the bigger ones, let the little ones explore and implement. OpenCode Go is $10/month for the open weight models with nice quotas: https://opencode.ai/go https://opencode.ai/go
- chillfox 4mo agoYou don’t have to limit yourself to the tiny models with the OpenCode Go plan, you can get a lot of usage from the bigger models if you keep the cache hot. I am about 85% through my quota with 9 days left before refresh and have just used over 1B tokens, mostly DeepSeek V4 Pro, but also a little mimo 2.5 pro and kimi k2.6
- verdverm 4mo agoFor sure, I've been flipping between flash/pro (or the equivalent for other families), been trying to stick to one family per project as a way to test them out independently over longer periods and more realistic/diverse tasks. I've definitely spent more quota on pro and pushed more tokens through flash.
- 4mo ago
- AJRF 4mo agoCopilot brand is tarnished, so time to bung everything under MAI?
- layer8 4mo agoMaybe the next Windows update will change This PC back to MAI Computer. ;)
- ilia-a 4mo agoI mean they are comparing themselves to Haiku of all things, geez that's not a good start...
- pzo 4mo agoTLDR; this is just Claude Haiku altrenative, you can probably skip whole article.
- GaryBluto 4mo agoWhat's with the lack of Microsoft design language on the website? It's painfully obvious they're trying to emulate Anthropic's style here and it looks tacky.
- flumpcakes 4mo agoThank you! This website is dreadful for accessibility and usability.
- i_have_an_idea 4mo agomaybe it was coded by Claude
- winfredJa 4mo agoi think it is AI generated.
- petercooper 4mo ago"It’s not just smarter; it’s leaner"
- foltik 4mo agoDefinitely vibed microslop, the giveaway is the broken header and scrolling on mobile.
- lanyard-textile 4mo agoThe broken header is an incredible distraction. I can't believe this slipped through.
- stringfood 4mo agoA little to minimalist - only a few hundred words on entire page!
- Handy-Man 4mo agoThat's neither Microsoft nor Anthropic design. It's from their acquisition of Inflection AI. Even Copilot mobile app design is basically what was Inflection's design
- deleted 4mo ago[deleted]
- npn 4mo agoI personally do not like Microsoft, but congrats them to release this model. While the scores are not good compare to other open weight model, the important thing to note is their training data (as they claimed) is very clean, without any synthetic datasets.
- smcleod 4mo agoI don't see the point in comparing yourself to Haiku which is not only useless for coding but also old. No thanks Microsoft.
- randomsc 4mo ago“ Build for developers, not benchmarks” is the worst marketing shot I ever heard
- briangao 4mo ago[dead]
- Computer0 4mo agoI went to VSC specifically to avoid the pricing I started experiencing on Cursor. After this change I have no reason to stick with GH Copilot, I'd rather keep buying OR credits.
- cwillu 4mo agoWhat is with people reimplementing window scrolling badly?
- hankbond 4mo agoImmediately noticed that and then closed out.
- illusive4080 4mo agoProbably vibe coded. I use StopTheMadness to prevent it.
- deleted 4mo ago[deleted]
- ruined 4mo agowtf are they doing to the scroll on that page
- elpakal 4mo agoeven worse on mobile
- dang 4mo agoRelated ongoing thread: MAI-Thinking-1 - https://news.ycombinator.com/item?id=48374362 https://news.ycombinator.com/item?id=48374362 - June 2026 (64 comments)
- mat0 4mo agohow long until they rebrand this shit as copilot?
- arunkant 4mo agoWhy do websites still hijack scrolling? It sucks
- AAYALAG 4mo ago[flagged]
- eterevsky 4mo agoThey are comparing it to Haiku 4.5. Not Opus, not Sonnet, but Haiku, the smallest Anthropic model, 3 versions old.
- lemonish97 4mo ago4.5 is still the latest Haiku model
- Nuspect 4mo agoSo lame … using haiku 4.5 as comparison
- gruntled-worker 4mo ago"Mai" means "never" in Italian. Ain't gonna happen.
- overfits-ai 4mo ago[flagged]
- yieldcrv 4mo agoa lot of people got paid way too much for this garbage, enjoy your performance bonuses for taking initiative
- jnwatson 4mo agoI had to remind myself what Haiku is even for. Anthropic hasn't spent a lot of recent marketing on it. When I need a light model, I reach for Sonnet. It is nearly free on the max plans, and quite fast. I don't see a place for Haiku in regular coding. Haiku I guess is when you need summarization/categorization at scale. Microsoft setting Haiku as the benchmark is a low bar.
- lemonish97 4mo ago> "It is nearly free on the max plans" is a funny oxymoron
- ronbenton 4mo ago>Build for developers, not benchmarks That sounds like something you say when you don't benchmark well
- hbwang2076 4mo ago[flagged]
- halapro 4mo agoIn a few languages MAI means no/never, so it's an apt name for a Microsoft offering.
- jeffrallen 4mo agoMAI? Ma die, mai! (gestures wildly while changing lanes in his Fiat 500)
- notenkidev 4mo agoCurious how this handles token cost visibility. One of the biggest pain points with AI coding tools right now is having no idea what you're actually spending per project.
- tornikeo 4mo agoWhere's the pelican when you need it the most?
- mchl-mumo 4mo agoThe UI has Mustafa Suleyman written all over. Seems to be as much effort in rebranding MAI as in training.
- hanzeweiasa 4mo ago[flagged]
- zoobab 4mo ago"It is built end-to-end by Microsoft using clean and appropriately licensed data." Well still no list nor publication of the training data.
- pasrom 4mo ago[flagged]
- gbkgbk 4mo ago[flagged]
- ramaseshanms 4mo agoHow not to flex: "MAI-Code-1-Flash outperforms Claude Haiku 4.5"
- schmorptron 4mo agoMaybe this will replace raptor-mini as the "free" model on copilot plans? (but I don't see it at all yet on the student plan, in vscode or the cli)
- aubanel 4mo agoRaw feedback to the team: 1-model looks awesome, 2-The artificially smoothed scrolling on your page feels really bad!
- haeseong 4mo ago[flagged]
- Hfuffzehn 4mo agoSo I guess the important link the marketing department forgot is this one: https://docs.github.com/en/copilot/reference/copilot-billing/models-and-pricing#microsoft https://docs.github.com/en/copilot/reference/copilot-billing... Model Input Cached input Output MAI-Code-1-Flash $0.75 $0.075 $4.50 Comparing to Claude Haiku 4.5 $1.00 $0.10 $5.00 looks fine. But they also forgot to include the benchmarks comparing to GPT-5.4 mini $0.75 $0.075 $4.50 Those would have been helpful.
- Hfuffzehn 4mo agoAnd as I am on holiday today I will try to help them out: GPT-5.4 mini Haiku 4.5 MAI-Code SWE-Bench Pro 54.4 % 35.2% 51.2% Terminal-Bench 2.0 60.0 % 41.6% 54.8% Source: https://openai.com/index/introducing-gpt-5-4-mini-and-nano/ https://openai.com/index/introducing-gpt-5-4-mini-and-nano/
- songting591 4mo ago[flagged]
- ChicagoDave 4mo agoI’m not sure the message should be benchmarking. The eye-opener is clean licensed data with filters for AI content (not sure how you do that). If MSFT builds up using an ethical approach, there is a large anti-AI audience that might take note.
- tgtweak 4mo agoIs anyone using haiku 4.5? Why not showcase it against something in a similar domain like qwen3.6 or gemma 4?
- overfits-ai 4mo ago[flagged]
- mekpro 4mo agoThe technical report is very detailed and would 'reinforcement learning' of future researchers, Thanks Microsoft!
- aikmack199 4mo agoWow yes bro
- maxothex 4mo ago[flagged]
- motoboi 4mo agoTo understand microsoft IA problems right now, observe that NONE of the models announced are available for use even in the microsoft foundry, which is the place were you add models to your account. I understand github copilot rollout takes time, but why can't we consume the models via microsoft own api after launching? Anthropic models are available at foundry the same moment they are launched, but not Microsoft's own models.
- chokolad 4mo agoTo understand microsoft IA problems right now observer the parent comment. It is literally false [1] but somehow creates a whole story of Microsoft inaptitude. [1] https://github.blog/changelog/2026-06-02-mai-code-1-flash-is-now-available-for-github-copilot/ https://github.blog/changelog/2026-06-02-mai-code-1-flash-is...
- motoboi 4mo agoVery nice. But nowhere to be seen in my model list on github copilot enterprise ai settings? I suppose it's still rolling out. The "rolling out to github copilot" is verbatim on the blog post, not my words. On the other hand, opus 4.8 became immediately available at copilot and foundry when launched. Mai-voice-2 and mai-transcribe are now available for me on foundry though. Just half a day after launching. Hear me out: i love microsoft. It's sad to see this state of AI business.
- XCSme 4mo agoAny reason why they are not on openrouter yet, but the speech models are? https://openrouter.ai/models https://openrouter.ai/models Curious to test them and see how they perform.
- nicogentile 4mo ago[flagged]