Model Comparison

DeepSeek-V3.1 vs LongCat-Flash-Lite

DeepSeek-V3.1 has a slight edge in benchmark performance. LongCat-Flash-Lite is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.1 outperforms in 4 benchmarks (GPQA, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified), while LongCat-Flash-Lite is better at 3 benchmarks (AIME 2024, AIME 2025, Terminal-Bench).

DeepSeek-V3.1 has a slight edge in benchmark performance.

Thu Apr 16 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-V3.1 ($0.27/1M tokens) is 2.7x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 2.5x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than LongCat-Flash-Lite.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
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-V3.1 has 602.5B more parameters than LongCat-Flash-Lite, making it 879.6% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
671.0B
DeepSeek-V3.1
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

LongCat-Flash-Lite accepts 256,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Thu Apr 16 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-V3.1

MIT

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 13 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

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-V3.1 is available from DeepInfra, Novita. LongCat-Flash-Lite is available from Meituan.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

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 GPQA score (74.9% vs 66.8%)
Higher MMLU-Pro score (83.7% vs 78.3%)
Higher SWE-bench Multilingual score (54.5% vs 38.1%)
Higher SWE-Bench Verified score (66.0% vs 54.4%)
Meituan
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (72.2% vs 66.3%)
Higher AIME 2025 score (63.2% vs 49.8%)
Higher Terminal-Bench score (33.8% vs 31.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Meituan
LongCat-Flash-Lite

FAQ

Common questions about DeepSeek-V3.1 vs LongCat-Flash-Lite

DeepSeek-V3.1 has a slight edge in benchmark performance. DeepSeek-V3.1 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-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. 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-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
DeepSeek-V3.1 supports 164K 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 (164K vs 256K), input pricing ($0.27 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and LongCat-Flash-Lite is developed by Meituan.