Kimi K2 0905 vs LongCat-Flash-Thinking
Kimi K2 0905 and LongCat-Flash-Thinking are closely matched at 21.6 and 28.7 on the LLM Stats Score. LongCat-Flash-Thinking is 2.0x cheaper per token.
Moonshot AI · Meituan · Updated for 2026
Which is better?
Kimi K2 0905 and LongCat-Flash-Thinking are closely matched on the overall LLM Stats Score at 21.6 and 28.7.
In the 3 individual benchmarks reported for both models, LongCat-Flash-Thinking wins 3; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2 0905
- you process long inputs — it offers a 262,144 token context window
Choose LongCat-Flash-Thinking
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Kimi K2 0905 · 14 for LongCat-Flash-Thinking
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.
Human preference
Blind head-to-head votes and playground preference scores
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
1.1 years ago
Sep 22, 2025
1.0 years 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
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.
FAQ
Common questions about Kimi K2 0905 vs LongCat-Flash-Thinking.