LongCat-Flash-Lite vs Qwen3 VL 30B A3B Instruct
Both models are evenly matched across the benchmarks. LongCat-Flash-Lite is 1.9x cheaper per token.
Meituan · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose LongCat-Flash-Lite
- 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
- you want predictable pricing at $0.20/M input and $0.70/M output
At a glance
The differences that matter most.
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
Playground indexes and blind preference scores
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
6 months ago
4mo newerSep 22, 2025
11 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
Judge for yourself.
Run your own prompts against LongCat-Flash-Lite and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-Flash-Lite vs Qwen3 VL 30B A3B Instruct.