DeepSeek-V3 0324 vs LongCat-Flash-Chat
DeepSeek-V3 0324 and LongCat-Flash-Chat are closely matched at 13.4 and 19.8 on the LLM Stats Score. DeepSeek-V3 0324 is 1.3x cheaper per token.
DeepSeek · Meituan · Updated for 2026
Which is better?
DeepSeek-V3 0324 and LongCat-Flash-Chat are closely matched on the overall LLM Stats Score at 13.4 and 19.8.
In the 4 individual benchmarks reported for both models, LongCat-Flash-Chat wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3 0324 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 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 DeepSeek-V3 0324
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 163,840 token context window
Choose LongCat-Flash-Chat
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Aug 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for DeepSeek-V3 0324 · 16 for LongCat-Flash-Chat
DeepSeek-V3 0324 outperforms in 1 benchmarks (LiveCodeBench), while LongCat-Flash-Chat is better at 3 benchmarks (GPQA, MATH-500, MMLU-Pro).
LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.24/1M tokens) is 1.3x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 1.3x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, LongCat-Flash-Chat is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 111.0B more parameters than LongCat-Flash-Chat, making it 19.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 5 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.5 years ago
Aug 29, 2025
1.1 years ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 0324 is available from DeepInfra, Novita. LongCat-Flash-Chat is available from Meituan.
DeepSeek-V3 0324
LongCat-Flash-Chat
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs LongCat-Flash-Chat.