Model Comparison

Kimi K2.7 Code vs MiMo-V2.5-ProWhich is better in 2026?

Comparing Kimi K2.7 Code and MiMo-V2.5-Pro across benchmarks, pricing, and capabilities.

Verdict: Kimi K2.7 Code vs MiMo-V2.5-Pro — which is better?

Kimi K2.7 Code (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.

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 K2.7 Code if…

  • you want the most recent training data — it shipped Jun 2026

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Kimi K2.7 Code and MiMo-V2.5-Prodon'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

MiMo-V2.5-Pro costs less

For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 1.7x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).

For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 4.0x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).

In conclusion, Kimi K2.7 Code is more expensive than MiMo-V2.5-Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Moonshot AI
Kimi K2.7 Code
Input tokens$0.74
Output tokens$3.50
Best providerDeepinfra
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

23.2B diff

MiMo-V2.5-Pro has 23.2B more parameters than Kimi K2.7 Code, making it 2.3% larger.

Moonshot AI
Kimi K2.7 Code
1.0Tparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
1000.0B
Kimi K2.7 Code
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Both models can generate responses up to 131,072 tokens.

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.7 Code supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.7 Code

Text
Images
Audio
Video

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code 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.

Kimi K2.7 Code

Modified MIT License

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while MiMo-V2.5-Pro was released on 2026-04-27.

Kimi K2.7 Code is 2 months newer than MiMo-V2.5-Pro.

Kimi K2.7 Code

Jun 12, 2026

1 months ago

1mo newer
MiMo-V2.5-Pro

Apr 27, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.74/1MOutput Price:Output: $3.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M

MiMo-V2.5-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Supports multimodal inputs
Xiaomi
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
MiMo-V2.5-Pro
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.7 Code
Xiaomi
MiMo-V2.5-Pro

FAQ

Common questions about Kimi K2.7 Code vs MiMo-V2.5-Pro.

Which is better, Kimi K2.7 Code or MiMo-V2.5-Pro?

Kimi K2.7 Code (Moonshot AI) and MiMo-V2.5-Pro (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Kimi K2.7 Code compare to MiMo-V2.5-Pro in benchmarks?

Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%. MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

Is Kimi K2.7 Code cheaper than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is 1.7x cheaper for input tokens. Kimi K2.7 Code costs $0.74/M input and $3.50/M output via deepinfra. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for Kimi K2.7 Code and MiMo-V2.5-Pro?

Kimi K2.7 Code supports 262K tokens and MiMo-V2.5-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2.7 Code and MiMo-V2.5-Pro?

Key differences include context window (262K vs 1.0M), input pricing ($0.74 vs $0.43/M), multimodal support (yes vs no), licensing (Modified MIT License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and MiMo-V2.5-Pro?

Kimi K2.7 Code is developed by Moonshot AI and MiMo-V2.5-Pro is developed by Xiaomi.

Related comparisons