LongCat-2.5 vs MiMo-V2-Pro
LongCat-2.5 leads the LLM Stats Score 50.0 to 35.1. LongCat-2.5 is 2.9x cheaper per token.
Meituan · Xiaomi · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 35.1, ranking #20 overall.
In the 1 individual benchmarks reported for both models, LongCat-2.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-2.5 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 also accepts a larger context window (1,048,576 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 LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 2.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
Choose MiMo-V2-Pro
- you want predictable pricing at $1.00/M input and $3.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 7 for MiMo-V2-Pro
LongCat-2.5 outperforms in 1 benchmarks (Claw-Eval), while MiMo-V2-Pro is better at 0 benchmarks.
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-2.5 ($0.30/1M tokens) is 3.3x cheaper than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 2.5x cheaper than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, MiMo-V2-Pro is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 600.0B more parameters than MiMo-V2-Pro, making it 60.0% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
LongCat-2.5 supports multimodal inputs, whereas MiMo-V2-Pro does not.
LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-2.5
MiMo-V2-Pro
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while MiMo-V2-Pro was released on 2026-03-18.
LongCat-2.5 is 8 months newer than MiMo-V2-Pro.
Nov 1, 2026
3 days ago
7mo 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
LongCat-2.5 is available from Meituan. MiMo-V2-Pro is available from Xiaomi.
LongCat-2.5
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs MiMo-V2-Pro.