Model Comparison
GLM-5 vs LongCat-Flash-Lite
GLM-5 significantly outperforms across most benchmarks. LongCat-Flash-Lite is 8.9x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while LongCat-Flash-Lite is better at 0 benchmarks.
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 8.0x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).
In conclusion, GLM-5 is more expensive than LongCat-Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 675.5B more parameters than LongCat-Flash-Lite, making it 986.1% larger.
Context Window
Maximum input and output token capacity
LongCat-Flash-Lite accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while LongCat-Flash-Lite was released on 2026-02-05.
GLM-5 is 0 month newer than LongCat-Flash-Lite.
Feb 11, 2026
1 months ago
6d newerFeb 5, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5 is available from ZAI. LongCat-Flash-Lite is available from Meituan.
GLM-5
LongCat-Flash-Lite
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs LongCat-Flash-Lite