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GLM-5.3-Flash vs LongCat-Flash-Chat

GLM-5.3-Flash leads the LLM Stats Score 51.1 to 20.1. GLM-5.3-Flash is 2.2x cheaper per token.

Zhipu AI · Meituan · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 51.1 to 20.1, ranking #12 overall.

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.

GLM-5.3-Flash also accepts a larger context window (1,048,576 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 GLM-5.3-Flash

  • overall performance matters — it scores 51.1 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 2.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose LongCat-Flash-Chat

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
LongCat-Flash-Chat
Meituan
Core performance indexes
LLM Stats Score
51.1
#12
20.1
#183
Reasoning
49.9
#14
20.0
#179
Coding
36.0
#24
12.6
#132
Agents
37.7
#10
9.4
#115
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.15 / M
$0.30 / M
Output price
$0.50 / M
$1.20 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3-Flash
LongCat-Flash-Chat
Tool use
33.7#3
9.7#123
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 16 for LongCat-Flash-Chat

No common benchmarks found

GLM-5.3-Flash and LongCat-Flash-Chatdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 2.0x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 2.4x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).

In conclusion, LongCat-Flash-Chat is more expensive than GLM-5.3-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Aug 31 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

240.0B diff

LongCat-Flash-Chat has 240.0B more parameters than GLM-5.3-Flash, making it 75.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
320.0B
GLM-5.3-Flash
560.0B
LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,048,576 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-Flash supports multimodal inputs, whereas LongCat-Flash-Chat does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

LongCat-Flash-Chat

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5.3-Flash

MIT

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while LongCat-Flash-Chat was released on 2025-08-29.

GLM-5.3-Flash is 12 months newer than LongCat-Flash-Chat.

GLM-5.3-Flash

Aug 26, 2026

5 days ago

12mo newer
LongCat-Flash-Chat

Aug 29, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5.3-Flash is available from DeepInfra, Novita, ZAI. LongCat-Flash-Chat is available from Meituan.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

LongCat-Flash-Chat

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
LongCat-Flash-Chat
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs LongCat-Flash-Chat.

Which is better, GLM-5.3-Flash or LongCat-Flash-Chat?

GLM-5.3-Flash leads the LLM Stats Score 51.1 to 20.1. GLM-5.3-Flash is made by Zhipu AI and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3-Flash compare to LongCat-Flash-Chat in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

Is GLM-5.3-Flash cheaper than LongCat-Flash-Chat?

GLM-5.3-Flash is 2.0x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GLM-5.3-Flash and LongCat-Flash-Chat?

GLM-5.3-Flash supports 1.0M tokens and LongCat-Flash-Chat supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3-Flash and LongCat-Flash-Chat?

Key differences include LLM Stats Score (51.1 vs 20.1), context window (1.0M vs 128K), input pricing ($0.15 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and LongCat-Flash-Chat?

GLM-5.3-Flash is developed by Zhipu AI and LongCat-Flash-Chat is developed by Meituan.

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