LongCat-Flash-Lite vs Mistral Small 4
LongCat-Flash-Lite and Mistral Small 4 are closely matched at 18.7 and 19.0 on the LLM Stats Score. LongCat-Flash-Lite is 1.5x cheaper per token.
Meituan · Mistral AI · Updated for 2026
Which is better?
LongCat-Flash-Lite and Mistral Small 4 are closely matched on the overall LLM Stats Score at 18.7 and 19.0.
In the 3 individual benchmarks reported for both models, Mistral Small 4 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-Flash-Lite is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LongCat-Flash-Lite
- cost matters — it's about 1.5x cheaper per token
Choose Mistral Small 4
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for LongCat-Flash-Lite · 9 for Mistral Small 4
LongCat-Flash-Lite outperforms in 1 benchmarks (MMLU-Pro), while Mistral Small 4 is better at 2 benchmarks (AIME 2025, GPQA).
Mistral Small 4 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, LongCat-Flash-Lite ($0.10/1M tokens) is 1.5x cheaper than Mistral Small 4 ($0.15/1M tokens).
For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 1.5x cheaper than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Mistral Small 4 is more expensive than LongCat-Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Small 4 has 50.5B more parameters than LongCat-Flash-Lite, making it 73.7% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 256,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Small 4 supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Mistral Small 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Mistral Small 4
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Mistral Small 4 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LongCat-Flash-Lite was released on 2026-02-05, while Mistral Small 4 was released on 2026-03-16.
Mistral Small 4 is 1 month newer than LongCat-Flash-Lite.
Feb 5, 2026
7 months ago
Mar 16, 2026
6 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
LongCat-Flash-Lite is available from Meituan. Mistral Small 4 is available from Mistral AI.
LongCat-Flash-Lite
Mistral Small 4
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-Flash-Lite and Mistral Small 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-Flash-Lite vs Mistral Small 4.