Kimi K2.6 vs MiMo-V2.6-Flash
Kimi K2.6 and MiMo-V2.6-Flash are closely matched at 43.7 and 45.6 on the LLM Stats Score. MiMo-V2.6-Flash is 8.2x cheaper per token.
Moonshot AI · Xiaomi · Updated for 2026
Which is better?
Kimi K2.6 and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 43.7 and 45.6.
In the 1 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Flash is roughly 8.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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 K2.6
- you want predictable pricing at $0.75/M input and $3.50/M output
Choose MiMo-V2.6-Flash
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 8.2x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for Kimi K2.6 · 16 for MiMo-V2.6-Flash
Kimi K2.6 outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 1 benchmark (OSWorld-Verified).
MiMo-V2.6-Flash 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 K2.6 ($0.75/1M tokens) is 5.4x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, Kimi K2.6 ($3.50/1M tokens) is 12.5x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, Kimi K2.6 is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.6 has 691.0B more parameters than MiMo-V2.6-Flash, making it 223.6% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Kimi K2.6's 262,144 tokens. Only Kimi K2.6 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Kimi K2.6 and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.6
MiMo-V2.6-Flash
License
Usage and distribution terms
Kimi K2.6 is licensed under Modified MIT License, while MiMo-V2.6-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Kimi K2.6 was released on 2026-04-20, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 5 months newer than Kimi K2.6.
Apr 20, 2026
5 months ago
Sep 22, 2026
0 days ago
5mo 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 K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. MiMo-V2.6-Flash is available from Xiaomi.
Kimi K2.6
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.6 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.6 vs MiMo-V2.6-Flash.