Model Comparison

GLM-5 vs LongCat-Flash-Thinking-2601

GLM-5 significantly outperforms across most benchmarks. LongCat-Flash-Thinking-2601 is 3.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking-2601 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.3x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.7x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, GLM-5 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 Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
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

184.0B diff

GLM-5 has 184.0B more parameters than LongCat-Flash-Thinking-2601, making it 32.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
744.0B
GLM-5
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 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
Input200,000 tokens
Output128,000 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

GLM-5

MIT

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

GLM-5 is 1 month newer than LongCat-Flash-Thinking-2601.

GLM-5

Feb 11, 2026

1 months ago

4w newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

2 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 is available from ZAI. LongCat-Flash-Thinking-2601 is available from Meituan.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

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→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher BrowseComp score (75.9% vs 56.6%)
Higher SWE-Bench Verified score (77.8% vs 70.0%)
Meituan
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about GLM-5 vs LongCat-Flash-Thinking-2601

GLM-5 significantly outperforms across most benchmarks. GLM-5 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.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.
LongCat-Flash-Thinking-2601 is 3.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.
GLM-5 supports 200K 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.
Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and LongCat-Flash-Thinking-2601 is developed by Meituan.