Model Comparison

DeepSeek-V3.1 vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.1 outperforms in 0 benchmarks, while LongCat-Flash-Thinking-2601 is better at 7 benchmarks (AIME 2025, BrowseComp, BrowseComp-zh, GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified).

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.1x cheaper than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.2x cheaper than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 is more expensive than DeepSeek-V3.1.*

* 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-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

111.0B diff

DeepSeek-V3.1 has 111.0B more parameters than LongCat-Flash-Thinking-2601, making it 19.8% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
671.0B
DeepSeek-V3.1
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 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-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LongCat-Flash-Thinking-2601 is 12 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

LongCat-Flash-Thinking-2601

Jan 14, 2026

3 months ago

1.0yr 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-Thinking-2601 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-Thinking-2601

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 (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Meituan
Higher AIME 2025 score (99.6% vs 49.8%)
Higher BrowseComp score (56.6% vs 30.0%)
Higher BrowseComp-zh score (69.0% vs 49.2%)
Higher GPQA score (80.5% vs 74.9%)
Higher Humanity's Last Exam score (25.2% vs 15.9%)
Higher LiveCodeBench score (82.8% vs 56.4%)
Higher SWE-Bench Verified score (70.0% vs 66.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about DeepSeek-V3.1 vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and LongCat-Flash-Thinking-2601 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-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.
DeepSeek-V3.1 is 1.1x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.
DeepSeek-V3.1 supports 164K tokens and LongCat-Flash-Thinking-2601 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 128K), input pricing ($0.27 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and LongCat-Flash-Thinking-2601 is developed by Meituan.