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GLM-5.3-FlashX-Legal vs LongCat-2.5

GLM-5.3-FlashX-Legal and LongCat-2.5 are closely matched at 41.5 and 50.0 on the LLM Stats Score. LongCat-2.5 is 1.1x cheaper per token.

Zhipu AI · Meituan · Updated for 2026

Which is better?

GLM-5.3-FlashX-Legal and LongCat-2.5 are closely matched on the overall LLM Stats Score at 41.5 and 50.0.

On price, LongCat-2.5 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

LongCat-2.5 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-FlashX-Legal

  • you want predictable pricing at $0.37/M input and $1.25/M output

Choose LongCat-2.5

  • cost matters — it's about 1.1x 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 Nov 2026

At a glance

The differences that matter most.

Core performance indexes
41.5
#73
50.0
#20
41.1
#67
48.3
#21
30.9
#47
36.3
#23
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.37 / M
$0.30 / M
Output price
$1.25 / M
$1.20 / M
Context window
1,000,000
1,048,576

Individual benchmarks

1 reported for GLM-5.3-FlashX-Legal · 23 for LongCat-2.5

No common benchmarks found

GLM-5.3-FlashX-Legal and LongCat-2.5don'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

LongCat-2.5 costs less

For input processing, GLM-5.3-FlashX-Legal ($0.37/1M tokens) is 1.2x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, GLM-5.3-FlashX-Legal ($1.25/1M tokens) is 1.0x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, GLM-5.3-FlashX-Legal is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
Zhipu AI
GLM-5.3-FlashX-Legal
Input tokens$0.37
Output tokens$1.25
Best providerUnknown Organization
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to GLM-5.3-FlashX-Legal's 1,000,000 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-5.3-FlashX-Legal
Input1,000,000 tokens
Output131,072 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-FlashX-Legal and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-FlashX-Legal

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3-FlashX-Legal was released on 2026-10-12, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 1 month newer than GLM-5.3-FlashX-Legal.

GLM-5.3-FlashX-Legal

Oct 12, 2026

3 weeks ago

LongCat-2.5

Nov 1, 2026

4 days ago

2w 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-FlashX-Legal is available from ZAI. LongCat-2.5 is available from Meituan.

GLM-5.3-FlashX-Legal

z logo
Unknown Organization
Input Price:Input: $0.37/1MOutput Price:Output: $1.25/1M

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-FlashX-Legal and LongCat-2.5 side-by-side, then vote on the output you prefer.

GLM-5.3-FlashX-Legal
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about GLM-5.3-FlashX-Legal vs LongCat-2.5.

Which is better, GLM-5.3-FlashX-Legal or LongCat-2.5?

GLM-5.3-FlashX-Legal and LongCat-2.5 are closely matched on the LLM Stats Score at 41.5 and 50.0. GLM-5.3-FlashX-Legal 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-FlashX-Legal compare to LongCat-2.5 in benchmarks?

GLM-5.3-FlashX-Legal scores Legal Agent Benchmark: 19.2%. 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-FlashX-Legal cheaper than LongCat-2.5?

LongCat-2.5 is 1.2x cheaper for input tokens. GLM-5.3-FlashX-Legal costs $0.37/M input and $1.25/M output via z. 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-FlashX-Legal and LongCat-2.5?

GLM-5.3-FlashX-Legal 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-FlashX-Legal and LongCat-2.5?

Key differences include LLM Stats Score (41.5 vs 50.0), context window (1.0M vs 1.0M), input pricing ($0.37 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-FlashX-Legal and LongCat-2.5?

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