GLM-5.3-Flash vs LongCat-2.5
GLM-5.3-Flash and LongCat-2.5 are closely matched at 48.3 and 50.0 on the LLM Stats Score. GLM-5.3-Flash is 2.2x cheaper per token.
Zhipu AI · Meituan · Updated for 2026
Which is better?
GLM-5.3-Flash and LongCat-2.5 are closely matched on the overall LLM Stats Score at 48.3 and 50.0.
In the 4 individual benchmarks reported for both models, LongCat-2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- cost matters — it's about 2.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose LongCat-2.5
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GLM-5.3-Flash · 23 for LongCat-2.5
GLM-5.3-Flash outperforms in 0 benchmarks, while LongCat-2.5 is better at 4 benchmarks (CharXiv-R, DeepSWE 1.1, NL2Repo, Terminal-Bench 2.1).
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 2.0x cheaper than LongCat-2.5 ($0.30/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 2.4x cheaper than LongCat-2.5 ($1.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1280.0B more parameters than GLM-5.3-Flash, making it 400.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. GLM-5.3-Flash can generate longer responses up to 1,048,576 tokens, while LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5.3-Flash and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5.3-Flash
LongCat-2.5
Release Timeline
When each model was launched
GLM-5.3-Flash was released on 2026-08-26, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 2 months newer than GLM-5.3-Flash.
Aug 26, 2026
2 months ago
Nov 1, 2026
3 days ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. LongCat-2.5 is available from Meituan.
GLM-5.3-Flash
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs LongCat-2.5.