Model Comparison

DeepSeek VL2 vs LongCat-Flash-Thinking

Comparing DeepSeek VL2 and LongCat-Flash-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and LongCat-Flash-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

533.0B diff

LongCat-Flash-Thinking has 533.0B more parameters than DeepSeek VL2, making it 1974.1% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
27.0B
DeepSeek VL2
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

LongCat-Flash-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while LongCat-Flash-Thinking uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while LongCat-Flash-Thinking was released on 2025-09-22.

LongCat-Flash-Thinking is 9 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.3 years ago

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

9mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek VL2 is available from Replicate. LongCat-Flash-Thinking is available from Meituan.

DeepSeek VL2

replicate logo
Replicate

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Meituan

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Meituan
LongCat-Flash-Thinking

FAQ

Common questions about DeepSeek VL2 vs LongCat-Flash-Thinking

DeepSeek VL2 (DeepSeek) and LongCat-Flash-Thinking (Meituan) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
DeepSeek VL2 supports 129K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 128K), multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and LongCat-Flash-Thinking is developed by Meituan.