Model Comparison

GLM-5 vs LongCat-Flash-ChatWhich is better in 2026?

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

Verdict: GLM-5 vs LongCat-Flash-Chat — which is better?

GLM-5 (by Zhipu AI) and LongCat-Flash-Chat (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while LongCat-Flash-Chat is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, LongCat-Flash-Chat is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose LongCat-Flash-Chat if…

  • cost matters — it's about 3.0x cheaper per token
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while LongCat-Flash-Chat is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Chat costs less

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

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

In conclusion, GLM-5 is more expensive than LongCat-Flash-Chat.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
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

184.0B diff

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

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

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to LongCat-Flash-Chat'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-Chat
Input128,000 tokens
Output128,000 tokens
Thu Jun 11 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-Chat

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while LongCat-Flash-Chat was released on 2025-08-29.

GLM-5 is 6 months newer than LongCat-Flash-Chat.

GLM-5

Feb 11, 2026

4 months ago

5mo newer
LongCat-Flash-Chat

Aug 29, 2025

9 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 FriendliAI, ZAI. LongCat-Flash-Chat is available from Meituan.

GLM-5

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

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→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher SWE-Bench Verified score (77.8% vs 60.4%)
Meituan
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about GLM-5 vs LongCat-Flash-Chat.

Which is better, GLM-5 or LongCat-Flash-Chat?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to LongCat-Flash-Chat in benchmarks?

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-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

Is GLM-5 cheaper than LongCat-Flash-Chat?

LongCat-Flash-Chat is 3.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GLM-5 and LongCat-Flash-Chat?

GLM-5 supports 200K 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 and LongCat-Flash-Chat?

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.

Who makes GLM-5 and LongCat-Flash-Chat?

GLM-5 is developed by Zhipu AI and LongCat-Flash-Chat is developed by Meituan.

Related comparisons