Is Z.ai GLM 5.1 available with Zero Data Retention on Elosia?

Z.ai GLM 5.1 runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Z.ai GLM 5.1 cost on Elosia?

Z.ai GLM 5.1 is billed by usage at $0.952 per 1M input tokens and $2.992 per 1M output tokens, within your Elosia plan.

What is Z.ai GLM 5.1's context window?

Z.ai GLM 5.1 supports a context window of up to 202,752 tokens.

Is Z.ai GLM 5.1 hosted in the EU?

Z.ai GLM 5.1 is not available on Elosia's EU-hosted (EdenAI) backend; it runs on the default backend.

When should you choose Z.ai GLM 5.1?

Z.ai GLM 5.1 is a balanced model: a strong quality/cost trade-off for everyday production work.

Z.ai GLM 5.1

Z.aiBalanced

ThinkingTool UseStructured Output

About this model

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

Performance Tier

Balanced

Z.ai GLM 5.1 is a balanced model from Z.ai : strong performance at a reasonable price.

Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.

Pricing

This model is included in Elosia plans

Affordable

Low cost. Suitable for sustained use and high-volume interactions.

Type	per 1M tokens
Input (prompt)	$0.952
Output (completion)	$2.99
Cache read	$0.177

Capabilities

Context Length203K

Max Output Tokens131K

TokenizerOther

Inputtext

Outputtext

Release DateApril 7, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

86.2%

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

SWE-bench Verified

77.8%

LiveCodeBench

52%

Reasoning

Humanity's Last Exam

52.3%

Agentic

SWE-bench Pro

58.4%

Terminal-Bench 2.0

69%

Where does Z.ai GLM 5.1 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchGeneral Chat

Strengths

754B MoE model (40B active), strong agentic coder on SWE-Bench Pro (58.4) — surpassed by GLM 5.2 for frontier use cases
Long-horizon agentic coding, sustains autonomous execution for up to 8 hours on a single task
200K context window with up to 131K output tokens
Open-weight MIT license, self-hostable, trained entirely on Huawei chips
Competitive pricing ($0.95/M input, $3.15/M output) vs Western frontier models