MiMo-V2.6-Flash
Made by Xiaomi. Epoch AI does not state how it can be accessed. Appears solid at coding among the models listed here.
In short
What it does well
- Coding: Strong (22nd of 77 listed models)
Where it falls short
- Writing: Behind the leaders (63rd of 77 listed models)
What we don't know yet
- Hard maths problems: Not enough data
- School-competition maths: Not enough data
- Graduate-level science questions: Not enough data
- Short factual questions: Not enough data
- Fixing real software bugs: Not enough data
- Difficult coding tasks: Not enough data
The four ratings
- Top tier
- Strong
- Middle
- Behind the leaders
- Not enough data
Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.
- Writing
- Behind the leadersHow often people preferred its answers to writing prompts. 1,405 on Arena's scale · Source for MiMo-V2.6-Flash writing score (lmarena)
- Coding
- StrongHow often people preferred its answers to coding questions. 1,498 on Arena's scale · Source for MiMo-V2.6-Flash coding score (lmarena)
- Maths
- Not enough dataNo result yet for hard maths problems.
- Knowledge
- Not enough dataNo result yet for short factual questions.
Evidence completeness: Partial evidence, 7 of 13 tests have a result.
Where it is relatively stronger or weaker
This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.
Relatively stronger
- Software and IT: 20th of 77 on software and IT questions, against 41st of 77 overall. Source for Software and IT
Relatively weaker
- Japanese: 52nd of 54 on questions asked in Japanese, against 41st of 77 overall. Source for Japanese
- Russian: 70th of 77 on questions asked in Russian, against 41st of 77 overall. Source for Russian
- Longer conversations: 60th of 77 on back-and-forth conversations, against 41st of 77 overall. Source for Longer conversations
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 27th of 77 | 1,497 95% range 1,482 to 1,512 | 1,548 | Source for Expert-level prompts |
| Hard prompts Kind of request | 37th of 77 | 1,473 95% range 1,466 to 1,480 | 9,428 | Source for Hard prompts |
| Long prompts Kind of request | 42nd of 77 | 1,459 95% range 1,451 to 1,468 | 6,257 | Source for Long prompts |
| Longer conversations Kind of request | 60th of 77 | 1,444 95% range 1,431 to 1,457 | 2,300 | Source for Longer conversations |
| Chinese Language | 35th of 76 | 1,509 95% range 1,492 to 1,526 | 1,236 | Source for Chinese |
| English prompts Language | 31st of 77 | 1,473 95% range 1,464 to 1,481 | 5,614 | Source for English prompts |
| French Language | 31st of 72 | 1,480 95% range 1,454 to 1,505 | 597 | Source for French |
| Japanese Language | 52nd of 54 | 1,357 95% range 1,321 to 1,393 | 312 | Source for Japanese |
| Non-English prompts Language | 58th of 77 | 1,431 95% range 1,424 to 1,438 | 9,693 | Source for Non-English prompts |
| Russian Language | 70th of 77 | 1,411 95% range 1,398 to 1,424 | 2,187 | Source for Russian |
| Spanish Language | 35th of 70 | 1,458 95% range 1,434 to 1,483 | 578 | Source for Spanish |
| Entertainment, sport and media Topic | 58th of 77 | 1,413 95% range 1,403 to 1,424 | 3,614 | Source for Entertainment, sport and media |
| Law and government Topic | 56th of 76 | 1,447 95% range 1,429 to 1,464 | 1,256 | Source for Law and government |
| Medicine and health Topic | 55th of 75 | 1,445 95% range 1,426 to 1,464 | 991 | Source for Medicine and health |
| Science Topic | 48th of 77 | 1,460 95% range 1,448 to 1,473 | 2,419 | Source for Science |
| Software and IT Topic | 20th of 77 | 1,495 95% range 1,487 to 1,504 | 5,703 | Source for Software and IT |
Bias: what we can and can't see
Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.
Best-supported use cases
- Homework and maths: not ranked, because there is not enough data for the main test.
- Research and checking facts: not ranked, because there is not enough data for the main test.
Where an alternative might be more suitable
- Writing and creating content: rated Behind the leaders on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Strong on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Homework and maths: no result on hard maths problems, so we cannot say. See which models the evidence does support.
- Business emails and everyday work: rated Strong on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
- Research and checking facts: no result on short factual questions, so we cannot say. See which models the evidence does support.
What it is
- Maker
- Xiaomi
- Access, as listed by Epoch AI
- Not stated
- Licence, as listed by Arena
- MIT
- Last observation in our data
- 28 Oct 2026
- Data last changed
- 29 Oct 2026, 14:36 UTC
We have not verified an official product page for this model, so we do not link to one.
How you can use it
Open weights. Arena lists its licence as MIT. In plain terms, the model's files are published under a licence that lets others run it, so it can be offered by more than one company, sometimes at lower cost. That does not guarantee that any particular app is free. Open licences differ, and some restrict commercial use, so check the licence terms before building a business on it.
How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. See models, apps and harnesses and how AI pricing works.
Price
Price not independently verified
We have not been able to check this maker's own pricing page, so we show nothing for it.
We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.
Good to remember
- Benchmarks are samples of tasks. None proves performance in every situation.
- Arena scores come from people choosing between answers. That measures preference, not correctness.
- Ratings are relative to the 77 models listed here. A different set would change them.
- Sources test models at different settings. Each result shows the setting used, and we do not adjust it.
The evidence, for the curious
Show all 13 tests with settings and sources
| Test | Result | Rating | Setting used | Source identifier | Observed | Links |
|---|---|---|---|---|---|---|
| Arena text: overall preference Arena 'text' leaderboard (Bradley-Terry rating, no style control) |
1,451 Arena score 95% range 1,445 to 1,457, 15,312 votes |
Middle | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,405 Arena score 95% range 1,393 to 1,416, 3,017 votes |
Behind the leaders | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,498 Arena score 95% range 1,488 to 1,508, 3,665 votes |
Strong | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,468 Arena score 95% range 1,448 to 1,489, 813 votes |
Middle | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,449 Arena score 95% range 1,440 to 1,458, 5,067 votes |
Middle | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,450 Arena score 95% range 1,439 to 1,462, 2,728 votes |
Strong | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · text/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps Arena 'webdev' leaderboard (Code Arena), category overall |
1,637 Arena score 95% range 1,629 to 1,646, 7,068 votes |
Top tier | effort: not stated, bradley-terry rating | MiMo-V2.6-Flash lmarena · webdev/latest |
28 Oct 2026 | Source for MiMo-V2.6-Flash Arena WebDev: building web apps score (lmarena) |
| FrontierMath Tiers 1-3 (v2) | Not enough data | |||||
| OTIS Mock AIME 2024-2025 | Not enough data | |||||
| GPQA Diamond | Not enough data | |||||
| SimpleQA Verified | Not enough data | |||||
| SWE-bench Verified (Epoch runs) | Not enough data | |||||
| FrontierCode (reported by Cognition) | Not enough data | |||||
Missing evidence
Not enough data for these tests:
- FrontierMath Tiers 1-3 (v2)
- OTIS Mock AIME 2024-2025
- GPQA Diamond
- SimpleQA Verified
- SWE-bench Verified (Epoch runs)
- FrontierCode (reported by Cognition)
Missing results are not low scores and do not count against the model.
Where a source gives no public run log, we cannot show the run behind the score. See data sources.
Not sure this is the right one?
Tell us what you need help with and we'll narrow the options down.