Requesty

glm-5.1

GLM 5.1 is the next generation flagship model from Z.ai, purpose built for long horizon agentic engineering and advanced coding workflows. Delivering state of the art results on benchmarks such as SWE Bench Pro, NL2Repo, and Terminal Bench 2.0, it significantly surpasses its predecessor in real world software development tasks. Unlike earlier models that plateau after initial progress, GLM 5.1 is designed to operate autonomously for extended periods, planning, experimenting, iterating, and refining its approach over hundreds of rounds and thousands of tool calls.

🔧Tool calling

Specifications

Context window203K tokens
Max output203K tokens
API typechat
AddedApr 29, 2026
Model IDinceptron/glm-5.1
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU (Sweden)

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Inceptron AB models overview.

Pricing

Input / 1M
$1.40
Output / 1M
$4.40
Cache write
Cache read
Estimated cost
100K input + 10K output$0.18
1M input + 100K output$1.84
10M input + 1M output$18.40

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to inceptron/glm-5.1.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="inceptron/glm-5.1", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Inceptron AB models

Frequently asked questions

How much does glm-5.1 cost?
glm-5.1 is priced at $1.40 per million input tokens and $4.40 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of glm-5.1?
glm-5.1 has a context window of 203K tokens, with a maximum output of 203K tokens per response. That's roughly 270 words of input you can fit in a single prompt.
What can glm-5.1 do?
glm-5.1 supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use glm-5.1 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "inceptron/glm-5.1". The Quickstart above shows Python, JavaScript and cURL snippets.

Access glm-5.1 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.