Model Comparison

DeepSeek-V3.2 (Non-thinking) vs LongCat-Flash-Lite

Comparing DeepSeek-V3.2 (Non-thinking) and LongCat-Flash-Lite across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and LongCat-Flash-Lite 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

LongCat-Flash-Lite costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 2.8x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 1.0x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than LongCat-Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

616.5B diff

DeepSeek-V3.2 (Non-thinking) has 616.5B more parameters than LongCat-Flash-Lite, making it 900.0% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

LongCat-Flash-Lite accepts 256,000 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. LongCat-Flash-Lite can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 2 months newer than DeepSeek-V3.2 (Non-thinking).

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

4 months ago

LongCat-Flash-Lite

Feb 5, 2026

2 months ago

2mo 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-V3.2 (Non-thinking) is available from DeepSeek. LongCat-Flash-Lite is available from Meituan.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Meituan
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Meituan
LongCat-Flash-Lite

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs LongCat-Flash-Lite

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and LongCat-Flash-Lite (Meituan) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.
LongCat-Flash-Lite is 2.8x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
DeepSeek-V3.2 (Non-thinking) supports 131K tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 256K), input pricing ($0.28 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and LongCat-Flash-Lite is developed by Meituan.