Llama 4 Maverick vs LongCat-Flash-Chat
Llama 4 Maverick and LongCat-Flash-Chat are closely matched at 14.9 and 20.1 on the LLM Stats Score. Llama 4 Maverick is 1.9x cheaper per token.
Meta · Meituan · Updated for 2026
Which is better?
Llama 4 Maverick and LongCat-Flash-Chat are closely matched on the overall LLM Stats Score at 14.9 and 20.1.
In the 4 individual benchmarks reported for both models, LongCat-Flash-Chat wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Maverick is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 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 Llama 4 Maverick
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
Choose LongCat-Flash-Chat
- you value its reported benchmark strengths — it wins 4 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
13 reported for Llama 4 Maverick · 16 for LongCat-Flash-Chat
Llama 4 Maverick outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 4 benchmarks (GPQA, LiveCodeBench, MMLU, MMLU-Pro).
LongCat-Flash-Chat 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, Llama 4 Maverick ($0.17/1M tokens) is 1.8x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 2.0x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, LongCat-Flash-Chat is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Chat has 160.0B more parameters than Llama 4 Maverick, making it 40.0% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Maverick supports multimodal inputs, whereas LongCat-Flash-Chat does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Maverick
LongCat-Flash-Chat
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Llama 4 Maverick was released on 2025-04-05, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 5 months newer than Llama 4 Maverick.
Apr 5, 2025
1.4 years ago
Aug 29, 2025
1.0 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. LongCat-Flash-Chat is available from Meituan.
Llama 4 Maverick
LongCat-Flash-Chat
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs LongCat-Flash-Chat.