Head to Head

zai-org/GLM-5.1 vs google/gemma-4-31B-it

Pricing, experience, and what the community actually says.

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

google/gemma-4-31B-it

Starting at

0.00 (Self-hosted)

Refund

N/A (Open-source model)

Try Free →

Our Take

zai-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.

google/gemma-4-31B-it

“Yes, particularly for teams that prioritize open-weight licensing, local deployment, and transparent benchmarking over managed API convenience.”

Gemma 4 31B-it delivers strong reasoning and coding performance for its size, backed by an open Apache 2.0 license and broad ecosystem support. It is a practical choice for developers seeking a capable, locally deployable model without proprietary restrictions.

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

google/gemma-4-31B-it

✓Strong reasoning and coding benchmarks for its parameter size

✓Permissive Apache 2.0 commercial license

✓Broad day-one support for local and cloud inference frameworks

✓Configurable thinking mode for task-specific accuracy

✓Efficient fp8 quantization reduces hardware requirements

✗Self-hosting requires significant GPU VRAM without quantization

✗No official managed API or enterprise SLA from Google

✗Reasoning mode increases token consumption and latency

✗Video input support varies by deployment environment

✗Requires technical expertise for optimal tuning and deployment

Full Breakdown

Category

zai-org/GLM-5.1

google/gemma-4-31B-it

Overall Rating

4.2 / 5

★4.5 / 5

Starting Price

$1.40 / 1M input tokens

0.00 (Self-hosted)

Learning Curve

Moderate. Requires familiarity with OpenAI-compatible SDKs, prompt engineering for reasoning modes, and token budget management due to verbosity.

Moderate. Familiarity with local LLM runners (Ollama, vLLM, LM Studio) and basic prompt engineering for reasoning modes is recommended.

Best Suited For

Software engineering teams, AI agent developers, and researchers requiring strong multi-step reasoning and open-weight deployment flexibility.

Developers, researchers, and enterprises building custom AI pipelines, local inference setups, or fine-tuning projects requiring strong reasoning and multilingual capabilities.

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 support via Hugging Face, GitHub, and Discord. Google provides official documentation and developer guides but no dedicated enterprise SLA for the open-weight release.

Hidden Costs

High verbosity can significantly increase output token consumption. Self-hosting requires substantial GPU infrastructure due to the 754B parameter size.

GPU/TPU infrastructure, electricity, and potential engineering time for deployment and optimization.

Refund Policy

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

N/A (Open-source model)

Platforms

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

Linux, macOS, Windows (via WSL/containers), Cloud (GCP, AWS, Azure), On-premise servers

Features

Watermark on Free Plan

✗ No

Mobile App

✗ No

API Access

✓ Yes

zai-org/GLM-5.1 Review →Try Free →

google/gemma-4-31B-it Review →Try Free →