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Zhipu AIOpen-weight·131K context·— params

GLM 4.5zhipu/glm-4-5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

Cheapest blended:$1.00 / 1M tokenson Zhipu AI · 1 provider listed

Pricing across providers

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ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction

1 hosting hidden — prices older than 60 days are pending re-verification.

Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.

Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

Code samples

Example using Zhipu AI — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://open.bigmodel.cn/api/paas/v4",
)

response = client.chat.completions.create(
    model="glm-4.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
131K
Max output
98K
Parameters
—
Release
—
Training cutoff
—
License
—
Hugging Face →

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Compare with

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  • GLM 4.5 vs DeepSeek V3 0324
    Comparison planned — not yet published
  • GLM 4.5 vs DeepSeek V3.1
    Comparison planned — not yet published

Frequently asked

How much does GLM 4.5 cost?+
The cheapest public hosting is $1.00 per 1M blended tokens on Zhipu AI. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access GLM 4.5 from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is GLM 4.5 open-source? Can I fine-tune it?+
Yes. GLM 4.5 is open-weight under the unspecified license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is GLM 4.5 OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for GLM 4.5?+
The model supports up to 131,072 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.