MAI-Code-1-Flash by Microsoft
Shares rank 10 of 15 coding models by recommenders
Recommended for strong coding benchmark scores from a small 5B-active-parameter model and a detailed technical report, though critics note weak comparisons and unpublished costs and training data.
Recommended for strong coding benchmark scores from a small 5B-active-parameter model and a detailed technical report, though critics note weak comparisons and unpublished costs and training data.
29 people gave an opinion
- recommend it
- 14
- criticize it
- 15
- approval share
- 48%
Recommended in 4 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 14 people recommend itNeeds 10 or more, met.
- 0.9 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Strong SWE-bench Pro score for its size
“MAI-Code-1-Flash scored 51.2% on SWE-bench Pro vs. Haiku's 35.2% which we see as a pretty big leap.”
Comment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “That high a score for 5B params is pretty good”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “Microsoft's result is quite good.”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” Fast and solid on simple tasks
“MAI Code 1.1 is also solid and fast for non-complex tasks”
Comment from 23 Aug 2026 in “Quick impressions: A week of using Codex more than Claude” “MAI fixed it in one shot with less than 70k tokens”
Comment from 9 Jul 2026 in “Grok 4.5” On par with Qwen, Gemma, and Luna
“Mai-Code-1.1-Flash seems like a really good cooperative player to GPT 5.6 Sol”
Comment from 18 Aug 2026 in “GPT-5.6 Sol Pricing Cut by 50%” “this is in the range of Qwen 3.6, Gemma 4, Nemotron 3 Super, and the like”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “MAI-Code-1.1-Flash is on par with OpenAI's Luna line of models”
Comment from 8 Oct 2026 in “Meta and Microsoft take steps to reduce employee usage of Claude AI”
What people warn about
Each mark is one comment
Weak baselines like Haiku
“they only do cherry-picked comparisons against Anthropics small models”
Comment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “I don't see the point in comparing yourself to Haiku which is not only useless for coding but also old”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “they are comparing themselves to Haiku of all things, geez that's not a good start”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” Not available in Copilot or Foundry
“But nowhere to be seen in my model list on github copilot enterprise ai settings?”
Comment from 4 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “NONE of the models announced are available for use even in the microsoft foundry”
Comment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” Not clearly better than open models
“it's basically the performance of Qwen3.6-35B-A3B which is 75% smaller”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “I don't see how this is competitive with Chinese models”
Comment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “So it's not an open model while not being much better?”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” Training data not published
“their training data (as they claimed) is very clean, without any synthetic datasets”
Comment from 2 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params” “Well still no list nor publication of the training data.”
Comment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params”
Other coding models people recommend
The four most recommended other coding models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Cursor Composer | 214 | 79 | 73% | 12 | 1 mo11 owners | Approved |
| Qwen3-Coder | 165 | 49 | 77% | 12 | 2 mo7 owners | Approved |
| GPT-5.3-Codex | 135 | 78 | 63% | 11 | 2 mo4 owners | — |
| Meta Muse Glimmer 30B | 70 | 18 | 80% | 3 | — | — |
| MAI-Code-1-Flash by MicrosoftThis page | 14 | 15 | 48% | 4 | — | — |
What people said
27 of the 29 comments that mention it, newest first. Each links to the original comment.
“MAI-Code-1.1-Flash is on par with OpenAI's Luna line of models”
“MAI Code 1.1 is also solid and fast for non-complex tasks”
“Mai-Code-1.1-Flash seems like a really good cooperative player to GPT 5.6 Sol”
“MAI fixed it in one shot with less than 70k tokens”
“But nowhere to be seen in my model list on github copilot enterprise ai settings?”
“NONE of the models announced are available for use even in the microsoft foundry”
“The technical report is very detailed”
“I don't see how this is competitive with Chinese models”
“It works if you can prove it, but you know, Microsoft didnt”
“they only do cherry-picked comparisons against Anthropics small models”
“Well still no list nor publication of the training data.”
“MAI-Code-1-Flash scored 51.2% on SWE-bench Pro vs. Haiku's 35.2% which we see as a pretty big leap.”
“Seems to be as much effort in rebranding MAI as in training.”
“"Mai" means "never" in Italian. Ain't gonna happen.”
“Sounds good, but they don't list token costs.”
“this is in the range of Qwen 3.6, Gemma 4, Nemotron 3 Super, and the like”
“I don't see the point in comparing yourself to Haiku which is not only useless for coding but also old”
“their training data (as they claimed) is very clean, without any synthetic datasets”
“the giveaway is the broken header on mobile”
“it's basically the performance of Qwen3.6-35B-A3B which is 75% smaller”
“they are comparing themselves to Haiku of all things, geez that's not a good start”
“This model might have a perfect speed: for i in range(100): print(random.choices(words))”
“So it's not an open model while not being much better?”
“Performance doesn't seem that good”
“That high a score for 5B params is pretty good”
“Microsoft's result is quite good.”
“There's no world in which I use an AI agent where it gets even 15% of the code wrong”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.