Model Comparison

Kimi K2.5 vs MiMo-V2-Flash

Kimi K2.5 significantly outperforms across most benchmarks. MiMo-V2-Flash is 7.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

Kimi K2.5 outperforms in 11 benchmarks (AIME 2025, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam, LiveCodeBench v6, LongBench v2, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 6.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, Kimi K2.5 ($2.50/1M tokens) is 8.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
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Model Size

Parameter count comparison

691.0B diff

Kimi K2.5 has 691.0B more parameters than MiMo-V2-Flash, making it 223.6% larger.

Moonshot AI
Kimi K2.5
1000.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
1000.0B
Kimi K2.5
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas MiMo-V2-Flash does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.5

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Kimi K2.5

MIT

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while MiMo-V2-Flash was released on 2025-12-16.

Kimi K2.5 is 1 month newer than MiMo-V2-Flash.

Kimi K2.5

Jan 27, 2026

2 months ago

1mo newer
MiMo-V2-Flash

Dec 16, 2025

3 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 K2.5 is available from Fireworks. MiMo-V2-Flash is available from Xiaomi.

Kimi K2.5

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

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2025 score (96.1% vs 94.1%)
Higher BrowseComp score (74.9% vs 58.3%)
Higher GPQA score (87.6% vs 83.7%)
Higher HMMT 2025 score (95.4% vs 84.4%)
Higher Humanity's Last Exam score (50.2% vs 22.1%)
Higher LiveCodeBench v6 score (85.0% vs 80.6%)
Higher LongBench v2 score (61.0% vs 60.6%)
Higher MMLU-Pro score (87.1% vs 84.9%)
Higher SWE-bench Multilingual score (73.0% vs 71.7%)
Higher SWE-Bench Verified score (76.8% vs 73.4%)
Higher Terminal-Bench 2.0 score (50.8% vs 38.5%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and MiMo-V2-Flash 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-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.
MiMo-V2-Flash is 6.0x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.
Kimi K2.5 supports 262K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 256K), input pricing ($0.60 vs $0.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and MiMo-V2-Flash is developed by Xiaomi.