MiMo Pro
No written verdict yet. Here is what commenters said.
Why people recommend it
“Is there a single use case where you would not be better served using MiMo 2.6 Pro?”
Show 3 more
“MiMo V2.6 Pro is the best performing open-weight model”
“Isn't Mimo 2.6 pro smarter and cheaper?”
“Mimo 2.6 Pro is even better.”
Caveats and dissent
“it's not better than MiMo V2.6 Pro which is pretty disappointing.”
“Is a barely-trained model going to score 48 on DeepSWE v1.1 ?”
Show 2 more
“It feels suspicious that MiMo-V2.6”
“All behave dumb, don't follow instructions properly even when they write skills for themselves.”
Often compared with
1 moved from DeepSeek V4 Flash to MiMo Pro
1 moved from Claude Opus to MiMo Pro
Who recommends it in their own words
Threads where it came up
- MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second 4 mentions
- Why isn't the industry freaking out about DeepSeek 4.1 Flash? 3 mentions
- Mistral Large 4 3 mentions
- MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis 3 mentions
- Semgrep: GLM 5.2 beats Claude in our Cyber Benchmarks 3 mentions
- Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit 2 mentions
Also written as MiMo 2.5, MiMo V2.5 Pro, MiMo-V2.5-Pro, MiMo 2.5 Pro. Data: mimo-pro.json. Quotes are verbatim; the verdict and theme labels are written by a model from these comments, and every clause links to its sources.
All comments 40
“Is there a single use case where you would not be better served using MiMo 2.6 Pro?”
“MiMo2.6-Pro is a beast”
“MiMo V2.6 Pro is the best performing open-weight model”
“it's not better than MiMo V2.6 Pro which is pretty disappointing.”
“Isn't Mimo 2.6 pro smarter and cheaper?”
“Mimo 2.6 Pro is even better.”
“but is above the pareto line, and cheaper”
“Mimo-V.26-Pro”
“I use MiMov2.6Pro, DeepSeekv4.1Flash, GLM5.3, Hy4, Qwen3.8 and KimiK3 at home.”
“MiMo v2.6 Pro which is currently the best open-weight model as far as I'm concerned”
“These all very cheap. =_=”
“MiMo V2.6 Pro performs better and is cheaper than GPT 6 Sol on my benchmark”
“Is a barely-trained model going to score 48 on DeepSWE v1.1 ?”
“It is an impressive model.”
“It feels suspicious that MiMo-V2.6”
Very capable model. I just ran it on my own LLM benchmark suite[1] and it matches Muse Spark 1.3 in pass rate but is significantly cheaper. 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/
“which are happy to follow your orders without accusing you of being a terrorist”
“For reference, Mimo-v2.5-Pro scored 19% on DeepSWE 1.1. This is looking great.”
“mimo-v2.5-free, mimo-v2.5, deepseek-flash in that order”
“at least the FPS counter is real!”
“mostly GLM-5.3, DS-V4-Flash, and MiMo-2.5-pro”
“I have found Xiaomi’s MiMo-V2.5-Pro to be a pretty cost-effective alternative.”
“it looks like Dv4F us more popular than mimov2.5”
“All behave dumb, don't follow instructions properly even when they write skills for themselves.”
“MiMo 2.5 Pro for reasoning”
“I've found this to be true for 1M context-size open weights that I use (GLM 5.2, MiMo v2.5 Pro, & DeepSeek v4 Pro)”
“Prefer the latter over DeepSeek v4 Pro because it costs the same while being equally good & less chattier for coding workloads.”
“are genuinely good enough as daily drivers, given the costs”
I'm not a regular v2.5 user, so I don't really know. But given the TileRT team write-up says the entire network gets quantized to FP8 (and experts get quantized to FP4)[0], I'm assuming there's at least a modest drop in quality. [0] https://www.tilert.ai/blog/breaking-1000-tps.html
“it is striking how similar performance & pricing of the models, DeepSeek v4 Pro & MiMo v2.5 Pro, is”
“I was doing it just fine on llama-server with 200k+ of context.”
“Deepseek v4 pro /mimo v2.5 pro models are comparably good”
“I use DeepSeek V4 Flash (high) and MiMo 2.5 (non Pro, because vision)”
“MiMo 2.5 Pro was released in April, at least a month before any of the cases were published”
“it's performed worse on almost every test I've done since”
“You'll get 10x more value by using MiMo 2.5 or DeepSeek Flash which is what I use for most code.”
“Deepseek, Kimi, MiMo started giving me multiple options but advocating strongly that I should either accept this deficiency”
“MiMo v2.5 & Pro”
“Please do yourself a favour and check out GLM-5.2, Qwen-3.7-Max, MiMo-2.5-Pro, and DeepSeek-V4-Pro.”
“you have glm 5.2, kimi k2.7,mimo v2.5 pro and deepseek v4”