LongCat-Flash-Lite vs Ministral 3 (8B Reasoning 2512)
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Reasoning 2512) is 1.2x cheaper per token.
Meituan · Mistral AI · Updated for 2026
Which is better?
LongCat-Flash-Lite outperforms in 0 benchmarks, while Ministral 3 (8B Reasoning 2512) is better at 3 benchmarks (AIME 2024, AIME 2025, GPQA). Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
On price, Ministral 3 (8B Reasoning 2512) is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ministral 3 (8B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose LongCat-Flash-Lite
- you want the most recent training data — it shipped Feb 2026
Choose Ministral 3 (8B Reasoning 2512)
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 262,100 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Lite outperforms in 0 benchmarks, while Ministral 3 (8B Reasoning 2512) is better at 3 benchmarks (AIME 2024, AIME 2025, GPQA).
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-Flash-Lite ($0.10/1M tokens) is 1.5x cheaper than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 2.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).
In conclusion, LongCat-Flash-Lite is more expensive than Ministral 3 (8B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Lite has 60.5B more parameters than Ministral 3 (8B Reasoning 2512), making it 756.3% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Ministral 3 (8B Reasoning 2512)
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Ministral 3 (8B Reasoning 2512) 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 Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.
LongCat-Flash-Lite is 2 months newer than Ministral 3 (8B Reasoning 2512).
Feb 5, 2026
6 months ago
2mo newerDec 4, 2025
8 months ago
Knowledge 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. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.
LongCat-Flash-Lite
Ministral 3 (8B Reasoning 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-Flash-Lite and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-Flash-Lite vs Ministral 3 (8B Reasoning 2512).
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