Model Comparison

DeepSeek-V3 vs LongCat-Flash-Lite

LongCat-Flash-Lite significantly outperforms across most benchmarks. LongCat-Flash-Lite is 2.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while LongCat-Flash-Lite is better at 5 benchmarks (AIME 2024, GPQA, MATH-500, MMLU-Pro, SWE-Bench Verified).

LongCat-Flash-Lite significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than LongCat-Flash-Lite.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
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

602.5B diff

DeepSeek-V3 has 602.5B more parameters than LongCat-Flash-Lite, making it 879.6% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
671.0B
DeepSeek-V3
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's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while LongCat-Flash-Lite uses MIT.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 14 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

LongCat-Flash-Lite

Feb 5, 2026

2 months ago

1.1yr 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 is available from DeepSeek. LongCat-Flash-Lite is available from Meituan.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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
Higher MMLU score (88.5% vs 85.5%)
Meituan
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (72.2% vs 39.2%)
Higher GPQA score (66.8% vs 59.1%)
Higher MATH-500 score (96.8% vs 90.2%)
Higher MMLU-Pro score (78.3% vs 75.9%)
Higher SWE-Bench Verified score (54.4% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Meituan
LongCat-Flash-Lite

FAQ

Common questions about DeepSeek-V3 vs LongCat-Flash-Lite

LongCat-Flash-Lite significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
DeepSeek-V3 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 ($0.27 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and LongCat-Flash-Lite is developed by Meituan.