Model Comparison
Kimi K2 0905 vs LongCat-Flash-ThinkingWhich is better in 2026?
LongCat-Flash-Thinking significantly outperforms across most benchmarks. LongCat-Flash-Thinking is 2.0x cheaper per token.
Verdict: Kimi K2 0905 vs LongCat-Flash-Thinking — which is better?
Kimi K2 0905 (by Moonshot AI) and LongCat-Flash-Thinking (by Meituan) 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.
Kimi K2 0905 outperforms in 0 benchmarks, while LongCat-Flash-Thinking is better at 3 benchmarks (AIME 2024, GPQA, MMLU-Pro). LongCat-Flash-Thinking significantly outperforms across most benchmarks.
On price, LongCat-Flash-Thinking is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2 0905 if…
- you process long inputs — it offers a 262,144 token context window
Choose LongCat-Flash-Thinking if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 2.0x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2 0905 outperforms in 0 benchmarks, while LongCat-Flash-Thinking is better at 3 benchmarks (AIME 2024, GPQA, MMLU-Pro).
LongCat-Flash-Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2 0905 ($0.60/1M tokens) is 2.0x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).
For output processing, Kimi K2 0905 ($2.50/1M tokens) is 2.1x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than LongCat-Flash-Thinking.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 0905 has 440.0B more parameters than LongCat-Flash-Thinking, making it 78.6% larger.
Context Window
Maximum input and output token capacity
Kimi K2 0905 accepts 262,144 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.
License
Usage and distribution terms
Kimi K2 0905 is licensed under a proprietary license, while LongCat-Flash-Thinking uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Kimi K2 0905 was released on 2025-09-05, while LongCat-Flash-Thinking was released on 2025-09-22.
LongCat-Flash-Thinking is 1 month newer than Kimi K2 0905.
Sep 5, 2025
10 months ago
Sep 22, 2025
10 months ago
2w newerKnowledge 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 0905 is available from Novita. LongCat-Flash-Thinking is available from Meituan.
Kimi K2 0905
LongCat-Flash-Thinking
Outputs Comparison
Key Takeaways
Kimi K2 0905
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2 0905 and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2 0905 vs LongCat-Flash-Thinking.