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GLM-5.3 vs LongCat-Flash-Thinking-2601

GLM-5.3 significantly outperforms across most benchmarks. LongCat-Flash-Thinking-2601 is 4.1x cheaper per token.

Zhipu AI · Meituan · Updated for 2026

Which is better?

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.

On price, LongCat-Flash-Thinking-2601 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose LongCat-Flash-Thinking-2601

  • cost matters — it's about 4.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
LongCat-Flash-Thinking-2601
Meituan
Benchmark wins
1 of 1
0 of 1
Input price
$1.40 / M
$0.30 / M
Output price
$4.40 / M
$1.20 / M
Context window
1,000,000
128,000
Released
Aug 2026
Jan 2026
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking-2601 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 4.7x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 3.7x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than LongCat-Flash-Thinking-2601.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

193.0B diff

GLM-5.3 has 193.0B more parameters than LongCat-Flash-Thinking-2601, making it 34.5% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
753.0B
GLM-5.3
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

GLM-5.3 is 7 months newer than LongCat-Flash-Thinking-2601.

GLM-5.3

Aug 14, 2026

1 weeks ago

7mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

7 months 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 is available from ZAI. LongCat-Flash-Thinking-2601 is available from Meituan.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

LongCat-Flash-Thinking-2601

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 and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about GLM-5.3 vs LongCat-Flash-Thinking-2601.

Which is better, GLM-5.3 or LongCat-Flash-Thinking-2601?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is made by Zhipu AI and LongCat-Flash-Thinking-2601 is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5.3 compare to LongCat-Flash-Thinking-2601 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

Is GLM-5.3 cheaper than LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 is 4.7x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GLM-5.3 and LongCat-Flash-Thinking-2601?

GLM-5.3 supports 1.0M tokens and LongCat-Flash-Thinking-2601 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 and LongCat-Flash-Thinking-2601?

Key differences include context window (1.0M vs 128K), input pricing ($1.40 vs $0.30/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and LongCat-Flash-Thinking-2601?

GLM-5.3 is developed by Zhipu AI and LongCat-Flash-Thinking-2601 is developed by Meituan.

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