Head to Head

GLM 5.1 vs zai-org/GLM-5.1

Pricing, experience, and what the community actually says.

★ Our Pick

GLM 5.1

GLM 5.1

Starting at

$0.01 per 1k tokens (Input)

Refund

Credit-based system; non-refundable once consumed

Try Free →
zai-org/GLM-5.1

zai-org/GLM-5.1

Starting at

$1.40 / 1M input tokens

Refund

Pay-as-you-go model; no refunds on consumed tokens. Unused credits may expire per provider terms.

Try Free →

Our Take

GLM 5.1GLM 5.1

Yes for developers and enterprises targeting global markets, specifically those needing robust performance in East Asian languages without sacrificing reasoning quality.

GLM 5.1 is a top-tier contender for users requiring deep Chinese-English bilingual proficiency and agentic reasoning. While it faces stiff competition in pure English creative writing, its logic and technical instruction-following are on par with the industry's leading models.

zai-org/GLM-5.1zai-org/GLM-5.1

Worth it for developers and enterprises needing a highly capable, commercially permissive model for software engineering and complex multi-step agents, provided latency and token costs fit the budget.

GLM-5.1 delivers frontier-level reasoning and coding performance under an open MIT license, but its high token cost and slower inference speed make it best suited for specialized, high-value tasks rather than high-volume, low-latency applications.

Pros & Cons

GLM 5.1

Top-tier bilingual (CN/EN) performance
Very low hallucination rate in technical tasks
Highly competitive token pricing
Excellent 2M context window stability
Safety filters can be overly restrictive
Prose can feel overly formal or 'dry'
Support documentation is best in Mandarin

zai-org/GLM-5.1

Strong multi-step reasoning and coding performance
Commercially permissive MIT license
Large 200k context window
Open-weight with transparent architecture
High benchmark scores (Intelligence Index: 51)
Higher token pricing compared to many open models
Slower inference speed (~44 t/s)
High verbosity increases output costs
Text-only input/output requires separate vision models
Heavy hardware requirements for self-hosting

Full Breakdown

Category
GLM 5.1GLM 5.1
zai-org/GLM-5.1zai-org/GLM-5.1

Overall Rating

4.6 / 5
4.2 / 5

Starting Price

$0.01 per 1k tokens (Input)
$1.40 / 1M input tokens

Learning Curve

Medium. While the API is OpenAI-compatible, mastering the model's specific prompt sensitivities for complex reasoning takes a few days of experimentation.
Moderate. Requires familiarity with OpenAI-compatible SDKs, prompt engineering for reasoning modes, and token budget management due to verbosity.

Best Suited For

Software engineers building autonomous agents, researchers requiring long-context analysis, and businesses operating in bilingual environments.
Software engineering teams, AI agent developers, and researchers requiring strong multi-step reasoning and open-weight deployment flexibility.

Support Quality

Reliable for enterprise tiers with dedicated Slack/Lark channels; community support is active but primarily in Mandarin.
Standard developer documentation and community support via GitHub and Hugging Face. No dedicated enterprise SLA is publicly advertised for the open-weight version.

Hidden Costs

Storage fees for long-term vector embeddings if using their integrated RAG solution.
High verbosity can significantly increase output token consumption. Self-hosting requires substantial GPU infrastructure due to the 754B parameter size.

Refund Policy

Credit-based system; non-refundable once consumed
Pay-as-you-go model; no refunds on consumed tokens. Unused credits may expire per provider terms.

Platforms

Web API, Private Cloud Deployment, iOS/Android (via ChatGLM app)
Cloud API, Self-hosted (GPU), Hugging Face, ModelScope

Features

Watermark on Free Plan

✓ Yes
✗ No

Mobile App

✓ Yes
✗ No

API Access

✓ Yes
✓ Yes