Model Comparison

Kimi K2.5 vs LongCat-Flash-Lite

Kimi K2.5 significantly outperforms across most benchmarks. LongCat-Flash-Lite is 6.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Kimi K2.5 outperforms in 5 benchmarks (AIME 2025, GPQA, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified), while LongCat-Flash-Lite 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

LongCat-Flash-Lite costs less

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

For output processing, Kimi K2.5 ($2.50/1M tokens) is 6.3x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, Kimi K2.5 is more expensive than LongCat-Flash-Lite.*

* 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
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

931.5B diff

Kimi K2.5 has 931.5B more parameters than LongCat-Flash-Lite, making it 1359.9% larger.

Moonshot AI
Kimi K2.5
1000.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
1000.0B
Kimi K2.5
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas LongCat-Flash-Lite 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

LongCat-Flash-Lite

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

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 0 month newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

2 months ago

LongCat-Flash-Lite

Feb 5, 2026

2 months ago

1w 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. LongCat-Flash-Lite is available from Meituan.

Kimi K2.5

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

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2025 score (96.1% vs 63.2%)
Higher GPQA score (87.6% vs 66.8%)
Higher MMLU-Pro score (87.1% vs 78.3%)
Higher SWE-bench Multilingual score (73.0% vs 38.1%)
Higher SWE-Bench Verified score (76.8% vs 54.4%)
Meituan
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Meituan
LongCat-Flash-Lite

FAQ

Common questions about Kimi K2.5 vs LongCat-Flash-Lite

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and LongCat-Flash-Lite is made by Meituan. 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%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.
LongCat-Flash-Lite is 6.0x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
Kimi K2.5 supports 262K tokens and LongCat-Flash-Lite 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 LongCat-Flash-Lite is developed by Meituan.