Claude 3.7 Sonnet vs LongCat-Flash-Thinking-2601
LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.3 to 23.9. LongCat-Flash-Thinking-2601 is 11.4x cheaper per token.
Anthropic · Meituan · Updated for 2026
Which is better?
LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 35.3 to 23.9, ranking #93 overall.
In the 3 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-Flash-Thinking-2601 is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.7 Sonnet
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 200,000 token context window
Choose LongCat-Flash-Thinking-2601
- overall performance matters — it scores 35.3 and ranks #93 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 11.4x cheaper per token
- you want the most recent training data — it shipped Jan 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 11 for LongCat-Flash-Thinking-2601
Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while LongCat-Flash-Thinking-2601 is better at 1 benchmark (AIME 2025).
Claude 3.7 Sonnet shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than LongCat-Flash-Thinking-2601.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3.7 Sonnet supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 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
LongCat-Flash-Thinking-2601
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while LongCat-Flash-Thinking-2601 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.
LongCat-Flash-Thinking-2601 is 11 months newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.6 years ago
Jan 14, 2026
8 months ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. LongCat-Flash-Thinking-2601 is available from Meituan.
Claude 3.7 Sonnet
LongCat-Flash-Thinking-2601
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs LongCat-Flash-Thinking-2601.