Hy3 vs MiMo-V2-Pro
Hy3 and MiMo-V2-Pro are closely matched at 42.6 and 35.4 on the LLM Stats Score. Hy3 is 6.0x cheaper per token.
Tencent · Xiaomi · Updated for 2026
Which is better?
Hy3 and MiMo-V2-Pro are closely matched on the overall LLM Stats Score at 42.6 and 35.4.
In the 4 individual benchmarks reported for both models, Hy3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 6.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hy3
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 6.0x cheaper per token
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose MiMo-V2-Pro
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Hy3 · 7 for MiMo-V2-Pro
Hy3 outperforms in 3 benchmarks (Claw-Eval, DeepSearchQA, SWE-bench Multilingual), while MiMo-V2-Pro is better at 0 benchmarks.
Hy3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hy3 ($0.14/1M tokens) is 7.1x cheaper than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 5.2x cheaper than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, MiMo-V2-Pro is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2-Pro has 705.0B more parameters than Hy3, making it 239.0% larger.
Context Window
Maximum input and output token capacity
MiMo-V2-Pro accepts 1,000,000 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, while MiMo-V2-Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while MiMo-V2-Pro was released on 2026-03-18.
Hy3 is 4 months newer than MiMo-V2-Pro.
Jul 6, 2026
3 months ago
3mo newerMar 18, 2026
7 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. MiMo-V2-Pro is available from Xiaomi.
Hy3
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs MiMo-V2-Pro.