Model Comparison
Kimi K2.6 vs MiMo-V2.5-ProWhich is better in 2026?
Kimi K2.6 significantly outperforms across most benchmarks. MiMo-V2.5-Pro is 2.6x cheaper per token.
Verdict: Kimi K2.6 vs MiMo-V2.5-Pro — which is better?
Kimi K2.6 (by Moonshot AI) and MiMo-V2.5-Pro (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K2.6 outperforms in 7 benchmarks (Claw-Eval, Finance Agent v2, GPQA, Humanity's Last Exam, LiveCodeBench v6, SWE-Bench Pro, SWE-Bench Verified), while MiMo-V2.5-Pro is better at 2 benchmarks (GDPval-AA, Terminal-Bench 2.0). Kimi K2.6 significantly outperforms across most benchmarks.
On price, MiMo-V2.5-Pro is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.6 if…
- you want the strongest raw capability — it leads on 7 of 9 shared benchmarks
Choose MiMo-V2.5-Pro if…
- cost matters — it's about 2.6x 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 Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.6 outperforms in 7 benchmarks (Claw-Eval, Finance Agent v2, GPQA, Humanity's Last Exam, LiveCodeBench v6, SWE-Bench Pro, SWE-Bench Verified), while MiMo-V2.5-Pro is better at 2 benchmarks (GDPval-AA, Terminal-Bench 2.0).
Kimi K2.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.6 ($0.75/1M tokens) is 1.7x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Kimi K2.6 ($3.50/1M tokens) is 4.0x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, Kimi K2.6 is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 23.2B more parameters than Kimi K2.6, making it 2.3% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Kimi K2.6's 262,144 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Kimi K2.6 supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Kimi K2.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.6
MiMo-V2.5-Pro
License
Usage and distribution terms
Kimi K2.6 is licensed under Modified MIT License, while MiMo-V2.5-Pro 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-V2.5-Pro was released on 2026-04-27.
MiMo-V2.5-Pro is 0 month newer than Kimi K2.6.
Apr 20, 2026
2 months ago
Apr 27, 2026
2 months ago
1w 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-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Kimi K2.6
MiMo-V2.5-Pro
Outputs Comparison
Key Takeaways
Kimi K2.6
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.6 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.6 vs MiMo-V2.5-Pro.