Model Comparison

Claude 3.7 Sonnet vs LongCat-Flash-Thinking

LongCat-Flash-Thinking has a slight edge in benchmark performance. LongCat-Flash-Thinking is 11.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while LongCat-Flash-Thinking is better at 3 benchmarks (AIME 2024, AIME 2025, MATH-500).

LongCat-Flash-Thinking has a slight edge in benchmark performance.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking costs less

For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than LongCat-Flash-Thinking.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3.7 Sonnet accepts 200,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.7 Sonnet

Text
Images
Audio
Video

LongCat-Flash-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while LongCat-Flash-Thinking uses MIT.

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

Claude 3.7 Sonnet

Proprietary

Closed source

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while LongCat-Flash-Thinking was released on 2025-09-22.

LongCat-Flash-Thinking is 7 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

7mo 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

Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. LongCat-Flash-Thinking is available from Meituan.

Claude 3.7 Sonnet

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
google logo
Google
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

LongCat-Flash-Thinking

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

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (84.8% vs 81.5%)
Higher SWE-Bench Verified score (70.3% vs 59.4%)
Meituan
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (93.3% vs 80.0%)
Higher AIME 2025 score (90.6% vs 54.8%)
Higher MATH-500 score (99.2% vs 96.2%)
AnthropicClaude 3.7 Sonnet
MeituanLongCat-Flash-Thinking
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
Meituan
LongCat-Flash-Thinking

FAQ

Common questions about Claude 3.7 Sonnet vs LongCat-Flash-Thinking

LongCat-Flash-Thinking has a slight edge in benchmark performance. Claude 3.7 Sonnet is made by Anthropic and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
LongCat-Flash-Thinking is 10.0x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.
Claude 3.7 Sonnet supports 200K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($3.00 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and LongCat-Flash-Thinking is developed by Meituan.