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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.

Core performance indexes
48.3
#32
50.0
#20
47.2
#26
48.3
#21
32.1
#58
38.6
#27
34.6
#33
36.3
#23
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.15 / M
$0.30 / M
Output price
$0.50 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GLM-5.3-Flash
LongCat-2.5
31.3#37
32.5#29
29.3#24
30.2#15
30.2#40
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 23 for LongCat-2.5

4 shared

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.

Wed Nov 04 2026 • llm-stats.com

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-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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

1280.0B diff

LongCat-2.5 has 1280.0B more parameters than GLM-5.3-Flash, making it 400.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
320.0B
GLM-5.3-Flash
1600.0B
LongCat-2.5

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.

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

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

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

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.

GLM-5.3-Flash

Aug 26, 2026

2 months ago

LongCat-2.5

Nov 1, 2026

3 days ago

2mo newer

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, FriendliAI, Novita, ZAI. LongCat-2.5 is available from Meituan.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
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-2.5

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?

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.

GLM-5.3-Flash
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs LongCat-2.5.

Which is better, GLM-5.3-Flash or LongCat-2.5?

GLM-5.3-Flash and LongCat-2.5 are closely matched on the LLM Stats Score at 48.3 and 50.0. GLM-5.3-Flash is made by Zhipu AI and LongCat-2.5 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-2.5 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-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is GLM-5.3-Flash cheaper than LongCat-2.5?

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-2.5 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-2.5?

GLM-5.3-Flash supports 1.0M tokens and LongCat-2.5 supports 1.0M 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-2.5?

Key differences include LLM Stats Score (48.3 vs 50.0), input pricing ($0.15 vs $0.30/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and LongCat-2.5?

GLM-5.3-Flash is developed by Zhipu AI and LongCat-2.5 is developed by Meituan.