Flagship · Apr 2026

GLM-5.1

Strong reasoning and coding model with a 1M context window at competitive pricing.

By Z.AI · Text · MIT

Context

1M tokens

Modality

Text

Architecture

MoE + DSA

License

MIT

Per 1M tokens $1.40 in · $4.40 out
Model details

Specs & substance

Developed by
Z.AI
Model family
GLM
Use case
Flagship
Modality
Text
Context window
1M tokens
Architecture
MoE + DSA
Version
5.1
License
MIT
Pricing
$1.40 in · $4.40 out · $0.26 cache read
Released
Apr 2026
Endpoint
parasail-glm-51

Strong reasoning and coding model with a 1M context window at competitive pricing.

GLM-5.1 is part of the GLM family by Z.AI, and sits in the flagship category. It supports a 1M tokens context window and is built on a MoE + DSA architecture.

Key strengths: reasoning, coding, long-context. Parasail serves GLM-5.1 on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.

Integrate

Drop-in via the OpenAI SDK

Point any OpenAI-compatible client at Parasail and change the model name. That's it.

python parasail · GLM-5.1
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.parasail.io/v1"
)

response = client.chat.completions.create(
    model="parasail-glm-51",
    messages=[
        {"role": "user", "content": "Hello, what can you do?"}
    ],
    stream=True,
    max_tokens=1000
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
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