Model Comparison
GLM-4.7-Flash vs LongCat-Flash-ChatWhich is better in 2026?
GLM-4.7-Flash shows notably better performance in the majority of benchmarks. GLM-4.7-Flash is 3.4x cheaper per token.
Verdict: GLM-4.7-Flash vs LongCat-Flash-Chat — which is better?
GLM-4.7-Flash (by Zhipu AI) and LongCat-Flash-Chat (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GLM-4.7-Flash outperforms in 2 benchmarks (AIME 2025, GPQA), while LongCat-Flash-Chat is better at 1 benchmark (SWE-Bench Verified). GLM-4.7-Flash shows notably better performance in the majority of benchmarks.
On price, GLM-4.7-Flash is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GLM-4.7-Flash if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 3.4x cheaper per token
- you want the most recent training data — it shipped Jan 2026
Choose LongCat-Flash-Chat if…
- you want predictable pricing at $0.30/M input and $1.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.7-Flash outperforms in 2 benchmarks (AIME 2025, GPQA), while LongCat-Flash-Chat is better at 1 benchmark (SWE-Bench Verified).
GLM-4.7-Flash shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 4.3x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 3.0x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, LongCat-Flash-Chat is more expensive than GLM-4.7-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Chat has 530.0B more parameters than GLM-4.7-Flash, making it 1766.7% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. LongCat-Flash-Chat can generate longer responses up to 128,000 tokens, while GLM-4.7-Flash is limited to 16,384 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-4.7-Flash was released on 2026-01-19, while LongCat-Flash-Chat was released on 2025-08-29.
GLM-4.7-Flash is 5 months newer than LongCat-Flash-Chat.
Jan 19, 2026
6 months ago
4mo newerAug 29, 2025
10 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-4.7-Flash is available from ZAI. LongCat-Flash-Chat is available from Meituan.
GLM-4.7-Flash
LongCat-Flash-Chat
Outputs Comparison
Key Takeaways
GLM-4.7-Flash
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-4.7-Flash and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GLM-4.7-Flash vs LongCat-Flash-Chat.