Head to Head

zai-org/GLM-5.1 vs DeepSeek V3

Pricing, experience, and what the community actually says.

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.

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★ Our Pick

DeepSeek V3

DeepSeek V3

Starting at

$0.14 per 1M tokens (input)

Refund

Credit-based system; unused credits are typically non-refundable.

Try Free →

Our Take

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.

DeepSeek V3DeepSeek V3

“Yes. For developers and enterprises looking to scale LLM usage without the 'OpenAI tax,' it is arguably the most logical choice in the current landscape.”

DeepSeek V3 is the current market leader for price-to-performance ratio. It matches top-tier proprietary models in coding and logic while remaining significantly cheaper for API-heavy applications.

Pros & Cons

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

DeepSeek V3

✓Unbeatable price-to-performance ratio
✓Top-tier coding and mathematical reasoning
✓Highly efficient inference speed
✓Open-weights availability for private hosting
✗Web interface is basic compared to rivals
✗Regional latency for users far from Asian data centers
✗Less emphasis on creative/prose nuances

Full Breakdown

Category
zai-org/GLM-5.1zai-org/GLM-5.1
DeepSeek V3DeepSeek V3

Overall Rating

4.2 / 5
★4.8 / 5

Starting Price

$1.40 / 1M input tokens
$0.14 per 1M tokens (input)

Learning Curve

Moderate. Requires familiarity with OpenAI-compatible SDKs, prompt engineering for reasoning modes, and token budget management due to verbosity.
Low. If you have used any modern LLM, the interface and API structure (OpenAI-compatible) require zero retraining.

Best Suited For

Software engineering teams, AI agent developers, and researchers requiring strong multi-step reasoning and open-weight deployment flexibility.
Software engineers, data scientists, and developers building agentic workflows who require high-reasoning capabilities at scale.

Support Quality

Standard developer documentation and community support via GitHub and Hugging Face. No dedicated enterprise SLA is publicly advertised for the open-weight version.
Community-driven. Official support for API users is responsive, but don't expect the white-glove account management of an enterprise Microsoft/Google contract.

Hidden Costs

High verbosity can significantly increase output token consumption. Self-hosting requires substantial GPU infrastructure due to the 754B parameter size.
None. However, users should account for potential latency variances depending on their geographic proximity to their data centers.

Refund Policy

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

Platforms

Cloud API, Self-hosted (GPU), Hugging Face, ModelScope
Web, iOS, Android, API

Features

Watermark on Free Plan

✗ No
✗ No

Mobile App

✗ No
✓ Yes

API Access

✓ Yes
✓ Yes
zai-org/GLM-5.1 Review →Try Free →
DeepSeek V3 Review →Try Free →