Model Comparison

Kimi K2.5 vs MiMo-V2-Omni

Kimi K2.5 significantly outperforms across most benchmarks. MiMo-V2-Omni is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi K2.5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiMo-V2-Omni is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Fri Apr 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Omni costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 1.5x more expensive than MiMo-V2-Omni ($0.40/1M tokens).

For output processing, Kimi K2.5 ($2.50/1M tokens) is 1.3x more expensive than MiMo-V2-Omni ($2.00/1M tokens).

In conclusion, Kimi K2.5 is more expensive than MiMo-V2-Omni.*

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

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Xiaomi
MiMo-V2-Omni
Input tokens$0.40
Output tokens$2.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Fri Apr 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.5 and MiMo-V2-Omni support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.5

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while MiMo-V2-Omni uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2.5

MIT

Open weights

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while MiMo-V2-Omni was released on 2026-03-18.

MiMo-V2-Omni is 2 months newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

2 months ago

MiMo-V2-Omni

Mar 18, 2026

2 weeks ago

1mo newer

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 K2.5 is available from Fireworks. MiMo-V2-Omni is available from Xiaomi.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

MiMo-V2-Omni

xiaomi logo
Xiaomi
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Has open weights
Higher SWE-Bench Verified score (76.8% vs 74.8%)
Xiaomi
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Xiaomi
MiMo-V2-Omni

FAQ

Common questions about Kimi K2.5 vs MiMo-V2-Omni

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and MiMo-V2-Omni is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.
MiMo-V2-Omni is 1.5x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks. MiMo-V2-Omni costs $0.40/M input and $2.00/M output via xiaomi.
Kimi K2.5 supports 262K tokens and MiMo-V2-Omni supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 262K), input pricing ($0.60 vs $0.40/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and MiMo-V2-Omni is developed by Xiaomi.