Model Comparison
LongCat-Flash-Lite vs Qwen3 VL 30B A3B InstructWhich is better in 2026?
Both models are evenly matched across the benchmarks. LongCat-Flash-Lite is 1.9x cheaper per token.
Verdict: LongCat-Flash-Lite vs Qwen3 VL 30B A3B Instruct — which is better?
LongCat-Flash-Lite (by Meituan) and Qwen3 VL 30B A3B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
LongCat-Flash-Lite outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (AIME 2025, GPQA). Both models are evenly matched across the benchmarks.
On price, LongCat-Flash-Lite is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-Flash-Lite also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose LongCat-Flash-Lite if…
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Qwen3 VL 30B A3B Instruct if…
- you want predictable pricing at $0.20/M input and $0.70/M output
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Lite outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen3 VL 30B A3B Instruct 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 2.0x cheaper than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).
For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 1.7x cheaper than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).
In conclusion, Qwen3 VL 30B A3B Instruct 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 37.5B more parameters than Qwen3 VL 30B A3B Instruct, making it 121.0% larger.
Context Window
Maximum input and output token capacity
LongCat-Flash-Lite accepts 256,000 input tokens compared to Qwen3 VL 30B A3B Instruct's 131,072 tokens. LongCat-Flash-Lite can generate longer responses up to 128,000 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Qwen3 VL 30B A3B Instruct 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 30B A3B Instruct was released on 2025-09-22.
LongCat-Flash-Lite is 5 months newer than Qwen3 VL 30B A3B Instruct.
Feb 5, 2026
4 months ago
4mo newerSep 22, 2025
9 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 30B A3B Instruct is available from Novita, DeepInfra.
LongCat-Flash-Lite
Qwen3 VL 30B A3B Instruct
Outputs Comparison
Key Takeaways
Qwen3 VL 30B A3B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about LongCat-Flash-Lite vs Qwen3 VL 30B A3B Instruct.