Model Comparison
Kimi K2.7 Code vs MiMo-V2-OmniWhich is better in 2026?
Comparing Kimi K2.7 Code and MiMo-V2-Omni across benchmarks, pricing, and capabilities.
Verdict: Kimi K2.7 Code vs MiMo-V2-Omni — which is better?
Kimi K2.7 Code (by Moonshot AI) and MiMo-V2-Omni (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.
On price, MiMo-V2-Omni is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2.7 Code also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.7 Code if…
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Choose MiMo-V2-Omni if…
- cost matters — it's about 1.8x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.7 Code and MiMo-V2-Omnidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 1.8x more expensive than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 1.8x more expensive than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, Kimi K2.7 Code is more expensive than MiMo-V2-Omni.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K2.7 Code accepts 262,144 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Kimi K2.7 Code can generate longer responses up to 131,072 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K2.7 Code and MiMo-V2-Omni support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.7 Code
MiMo-V2-Omni
License
Usage and distribution terms
Kimi K2.7 Code is licensed under Modified MIT License, while MiMo-V2-Omni uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.7 Code was released on 2026-06-12, while MiMo-V2-Omni was released on 2026-03-18.
Kimi K2.7 Code is 3 months newer than MiMo-V2-Omni.
Jun 12, 2026
1 months ago
2mo newerMar 18, 2026
4 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
Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. MiMo-V2-Omni is available from Xiaomi.
Kimi K2.7 Code
MiMo-V2-Omni
Outputs Comparison
Key Takeaways
Kimi K2.7 Code
View detailsMoonshot AI
MiMo-V2-Omni
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.7 Code and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.7 Code vs MiMo-V2-Omni.