Claude 3.5 Sonnet vs LongCat-Flash-Lite
Both models are evenly matched across the benchmarks. LongCat-Flash-Lite is 34.3x cheaper per token.
Anthropic · Meituan · Updated for 2026
Which is better?
Claude 3.5 Sonnet outperforms in 2 benchmarks (GPQA, MMLU), while LongCat-Flash-Lite is better at 2 benchmarks (MMLU-Pro, SWE-Bench Verified). Both models are evenly matched across the benchmarks.
On price, LongCat-Flash-Lite is roughly 34.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-Flash-Lite also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude 3.5 Sonnet
- you want predictable pricing at $3.00/M input and $15.00/M output
Choose LongCat-Flash-Lite
- cost matters — it's about 34.3x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Sonnet outperforms in 2 benchmarks (GPQA, MMLU), while LongCat-Flash-Lite is better at 2 benchmarks (MMLU-Pro, SWE-Bench Verified).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Sonnet ($3.00/1M tokens) is 30.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).
For output processing, Claude 3.5 Sonnet ($15.00/1M tokens) is 37.5x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).
In conclusion, Claude 3.5 Sonnet is more expensive than LongCat-Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
LongCat-Flash-Lite accepts 256,000 input tokens compared to Claude 3.5 Sonnet's 200,000 tokens. Claude 3.5 Sonnet can generate longer responses up to 200,000 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude 3.5 Sonnet supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Claude 3.5 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Sonnet
LongCat-Flash-Lite
License
Usage and distribution terms
Claude 3.5 Sonnet is licensed under a proprietary license, while LongCat-Flash-Lite 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 3.5 Sonnet was released on 2024-10-22, while LongCat-Flash-Lite was released on 2026-02-05.
LongCat-Flash-Lite is 16 months newer than Claude 3.5 Sonnet.
Oct 22, 2024
1.8 years ago
Feb 5, 2026
6 months ago
1.3yr 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 3.5 Sonnet is available from Anthropic, Bedrock, Google. LongCat-Flash-Lite is available from Meituan.
Claude 3.5 Sonnet
LongCat-Flash-Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Sonnet and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Sonnet vs LongCat-Flash-Lite.