| ▲ | MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis(artificialanalysis.ai) |
| 100 points by theanonymousone 8 hours ago | 32 comments |
| |
|
| ▲ | Gareth321 4 hours ago | parent | next [-] |
| OpenAI usage limits have been severely cut, and intelligence appears to be markedly declining, so I'm going to start trying these Chinese models seriously now. I don't mind if it takes longer. I just need the intelligence to predictably work the same way from day to day. |
| |
| ▲ | unsupp0rted 4 hours ago | parent | next [-] | | Same- I pay $200/mo for Codex but whereas I used to get a week's work out of a weekly limit, now I get roughly 1~2 days. I've stopped using Astra entirely and remain on Sol orchestrating Luna Xhigh, but it's still not nearly a week's usage for a week's allotment. And even then, whenever a new model is about to come out, it feels like the model I'm using is being dumbed down substantially. I have no evidence for this and can have no evidence for this, but I can vote with my wallet regardless. | | |
| ▲ | dangoodmanUT 2 minutes ago | parent | next [-] | | see that's interesting, because I'm prompting all day and I usually end up with 15-25% by the end of the week. I'm using Astra xhigh exclusively | |
| ▲ | Gareth321 3 hours ago | parent | prev [-] | | I strongly agree. Check out the Codex subreddit. Many empirical examples of Astra silently downgrading the models. One found Astra was silently using Luna Max (but still billing for Astra). Even when I try to stick with Sol X/High, my limits are at best half of what they were before Astra launched, and the intelligence has declined markedly. I cancelled my $100 plan. This is absolutely absurd and frankly unusable now. | | |
| ▲ | Muromec 3 hours ago | parent [-] | | It feels bizarre reading about the amounts spent on it here and paying like 10 eurobucks a week for DS | | |
| ▲ | christophilus 33 minutes ago | parent | next [-] | | My spending with Deepseek was more than a Codex subscription, though. How are you keeping it to $10/month? Super light usage? | |
| ▲ | f6v an hour ago | parent | prev | next [-] | | For me, DS Pro is still behind Sol. But I do think many people hitting the Codex limits in 1 or 2 days are doing something wrong. | |
| ▲ | Gareth321 2 hours ago | parent | prev [-] | | These tools were pretty great if you could afford them, but now they are expensive and shit, and that combination doesn't work. |
|
|
| |
| ▲ | loloisi 2 hours ago | parent | prev | next [-] | | Sol 5.6 xhigh had been a very reliable workhorse for coding for me via the 200 bucks sub. But this week they seem to have tweaked the system to a point at which all models (Astra, Sol, Luna) hit rate limits all_the_time without me being anywhere close to the weekly limit. Early results with MiMo 2.6pro are quite encouraging for anything that's non-UI work so likely switching spend for the time being | |
| ▲ | phoghed 2 hours ago | parent | prev [-] | | > and intelligence appears to be markedly declining Serious question: does anyone have evidence of this? It’s something that’s constantly asserted, and has been since 2023. Every time someone posts a site that tries to track this though, I look at it and it’s just a flat line. |
|
|
| ▲ | segmondy 19 minutes ago | parent | prev | next [-] |
| Mimo2.5 is really good, but tended to loop too much for my taste. Locally, Pro2.5 wasn't much better. I would reach for it for one shots, hopefully they sorted it out with v2.6, it's a model that's slept on by many. I found that most people that used it did so because it was free. It's a top model worth exploring if you have never given it a go. |
|
| ▲ | egeres 5 hours ago | parent | prev | next [-] |
| It feels suspicious that MiMo-V2.6
Pro gets 46 in de index while DeepSeek-V4.1 (https://artificialanalysis.ai/models/deepseek-v4-1-flash) gets 39. According to the appendix at the bottom of https://mimo.xiaomi.com/mimo-v2-6 the deepseek model sometimes surpasses mimo and it's not so far behind in capabilities. A week ago opus 5 appeared 1 points ahead of fable 5 despite fable being a much smarter model (this has been corrected already) |
| |
| ▲ | SyneRyder 3 hours ago | parent | next [-] | | The main AA benchmark keeps changing, and had to be radically changed when Astra came out and showed zero improvement over GPT 5.6 Sol in their benchmark. Opus 5 is still 1 point ahead of Fable 5.0 on the index, if you manually add Fable 5.0 back into the list, so it hasn't actually been "corrected". It's only Fable 5.1 that is shown as ahead of Opus 5. The AA benchmark is a weighted average of other benchmarks and some internal ones. I think the difficult part is finding benchmarks that reflect your own use of the models. | | |
| ▲ | seahorseemoji 2 hours ago | parent [-] | | The way Artificial Analysis keeps changing their weights feels kind of like deciding who the winner should be and making the weights reflect that. They’ve been changing their weights to add more weight to improved long-running agentic capabilities, but doing so means they’re reducing the relative importance of world knowledge and of writing ability. I’ll grant that maybe world knowledge isn’t that important for these models. But writing ability is important for human understanding, and I think the weird turns of phrase and word choices reflect the labs’ underweighting of the importance of human understanding. |
| |
| ▲ | GodelNumbering 3 hours ago | parent | prev [-] | | > It feels suspicious that MiMo-V2.6 Pro gets 46 in de index while DeepSeek-V4.1 gets 39. Why? | | |
|
|
| ▲ | dom96 5 hours ago | parent | prev | next [-] |
| It is an impressive model. Agreed on most that is written on this page, with the exception of it being fast. I ran it on my own LLM benchmark suite[1] and it is faster than DeepSeek but still much slower than leading models. But it's pricing is where it really shines. KillSwitch-Bench 1.0 Claude Opus 5 66.9
GPT-6 Astra 57.9
Claude Fable 5.1 46.7
MiMo-V2.6-Pro 38.8
Muse Spark 1.3 36.5
1 - https://bench.killswitch-lang.org/ |
| |
|
| ▲ | tensegrist an hour ago | parent | prev | next [-] |
| where's the flash model? it's out already isn't it |
|
| ▲ | jampekka 6 hours ago | parent | prev | next [-] |
| "When evaluating the Intelligence Index, it generated 140M tokens, which is somewhat verbose in comparison to the median of 140M." |
| |
| ▲ | throwa356262 6 hours ago | parent [-] | | Nowadays these error can be a good thing :) Human error means this wasn't just stopped together by some bot. | | |
|
|
| ▲ | ignoramous 4 hours ago | parent | prev | next [-] |
| Per Xiaomi, MiMo v2.6 training run cost $3.47m. A far cry from the estimated costs ($100m+) for the Big 5 (MSL, xAI, GDM, OAI, Ant). I wouldn't be surprised if salaries and R&D costs have similar drastic disparities. For a model that matches Muse Spark 1.3 in benchmarks, MiMo v2.6 Pro is incredibly cheap, given its cache rates will remain $0.0036 per million. |
| |
|
| ▲ | kosolam 5 hours ago | parent | prev [-] |
| Why sol is not in the comparison? |
| |
