Kimi K2.5 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 38.8. MiMo-V2.6-Pro is 2.2x cheaper per token.
Moonshot AI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 38.8, ranking #19 overall.
In the 1 individual benchmarks reported for both models, MiMo-V2.6-Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Pro is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro 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 Kimi K2.5
- you want predictable pricing at $0.60/M input and $3.00/M output
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 49.8 and ranks #19 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 2.2x 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 Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
40 reported for Kimi K2.5 · 18 for MiMo-V2.6-Pro
Kimi K2.5 outperforms in 0 benchmarks, while MiMo-V2.6-Pro is better at 1 benchmark (CyberGym).
MiMo-V2.6-Pro 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, Kimi K2.5 ($0.60/1M tokens) is 1.4x more expensive than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, Kimi K2.5 ($3.00/1M tokens) is 3.4x more expensive than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, Kimi K2.5 is more expensive than MiMo-V2.6-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 20.0B more parameters than Kimi K2.5, making it 2.0% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Kimi K2.5's 262,100 tokens. Only Kimi K2.5 specifies output context (262,100 tokens).
Input capabilities
Documented input modalities across available providers
Both Kimi K2.5 and MiMo-V2.6-Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
MiMo-V2.6-Pro
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 8 months newer than Kimi K2.5.
Jan 27, 2026
7 months ago
Sep 22, 2026
0 days ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.5 is available from Fireworks, Moonshot AI. MiMo-V2.6-Pro is available from Xiaomi.
Kimi K2.5
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.5 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.5 vs MiMo-V2.6-Pro.