Model Comparison

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

Comparing DeepSeek-V3.2 (Non-thinking) 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-V3.2 (Non-thinking) 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

DeepSeek-V3.2 (Non-thinking) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.1x cheaper than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 2.9x cheaper than LongCat-Flash-Thinking ($1.20/1M tokens).

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

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

Lowest available price from all providers

Tue May 26 2026 • llm-stats.com

DeepSeek-V3.2 (Non-thinking)

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

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

125.0B diff

DeepSeek-V3.2 (Non-thinking) has 125.0B more parameters than LongCat-Flash-Thinking, making it 22.3% larger.

DeepSeek-V3.2 (Non-thinking)

685.0Bparameters

LongCat-Flash-Thinking

560.0Bparameters

685.0B

DeepSeek-V3.2 (Non-thinking)

560.0B

LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

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

DeepSeek-V3.2 (Non-thinking)

Input131,072 tokens

Output8,192 tokens

LongCat-Flash-Thinking

Input128,000 tokens

Output128,000 tokens

Tue May 26 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-Thinking

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while LongCat-Flash-Thinking was released on 2025-09-22.

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

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

5 months ago

2mo newer

LongCat-Flash-Thinking

Sep 22, 2025

8 months ago

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-Thinking is available from Meituan.

DeepSeek-V3.2 (Non-thinking)

DeepSeek

Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

LongCat-Flash-Thinking

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-V3.2 (Non-thinking)

View details

DeepSeek

Larger context window (131,072 tokens)

Less expensive input tokens

Less expensive output tokens

LongCat-Flash-Thinking

View details

Meituan

No standout differentiators in the data we have for this pair.

Detailed Comparison

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

FAQ

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

Which is better, DeepSeek-V3.2 (Non-thinking) or LongCat-Flash-Thinking?

DeepSeek-V3.2 (Non-thinking) (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.

How does DeepSeek-V3.2 (Non-thinking) compare to LongCat-Flash-Thinking in benchmarks?

LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

Is DeepSeek-V3.2 (Non-thinking) cheaper than LongCat-Flash-Thinking?

DeepSeek-V3.2 (Non-thinking) is 1.1x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and LongCat-Flash-Thinking?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 (Non-thinking) and LongCat-Flash-Thinking?

Key differences include context window (131K vs 128K), input pricing ($0.28 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and LongCat-Flash-Thinking?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and LongCat-Flash-Thinking is developed by Meituan.