LongCat-Flash-Lite vs Qwen3 VL 8B Thinking Comparison
Comparing LongCat-Flash-Lite and Qwen3 VL 8B Thinking across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Lite outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen3 VL 8B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-Flash-Lite ($0.10/1M tokens) is 1.8x cheaper than Qwen3 VL 8B Thinking ($0.18/1M tokens).
For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 5.2x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).
In conclusion, Qwen3 VL 8B Thinking is more expensive than LongCat-Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Lite has 59.5B more parameters than Qwen3 VL 8B Thinking, making it 661.1% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 8B Thinking accepts 262,144 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Thinking supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Qwen3 VL 8B Thinking
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Qwen3 VL 8B Thinking 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 Qwen3 VL 8B Thinking was released on 2025-09-22.
LongCat-Flash-Lite is 5 months newer than Qwen3 VL 8B Thinking.
Feb 5, 2026
1 months ago
4mo newerSep 22, 2025
5 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. Qwen3 VL 8B Thinking is available from DeepInfra. The availability of providers can affect quality of the model and reliability.
LongCat-Flash-Lite
Qwen3 VL 8B Thinking
Outputs Comparison
Key Takeaways
Qwen3 VL 8B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|