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zai-org/glm-4.6

GLM-4.6 is Z AI’s latest flagship model, designed to push agentic and coding performance further. It expands the context window from 128K to 200K tokens, improves reasoning and tool-use capabilities, and delivers stronger results in coding benchmarks and real-world development workflows. GLM-4.6 demonstrates refined writing quality, more capable agent behavior, and higher token efficiency (≈15% fewer tokens vs. GLM-4.5). Evaluations show clear gains over GLM-4.5 across reasoning, agents, and coding, reaching near parity with Claude Sonnet 4 in practical tasks while outperforming other open-source baselines. GLM-4.6 is available through the Z.ai API platform, OpenRouter, coding agents (Claude Code, Roo Code, Cline, Kilo Code), and soon as downloadable weights on HuggingFace and ModelScope.

Tool calling
Try zai-org/glm-4.6CompareDocs

Specifications

Context window205K tokens
Max output131K tokens
API typechat
AddedJul 30, 2025
Model IDnovita/zai-org/glm-4.6
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Released 2025-09-30
GPQA Diamondreasoning
78.0%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
25.1%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Input / 1M
$0.60
Output / 1M
$2.20
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K output$0.0820
1M input + 100K output$0.82
10M input + 1M output$8.20

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 novita/zai-org/glm-4.6.

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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="novita/zai-org/glm-4.6",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does zai-org/glm-4.6 cost?
zai-org/glm-4.6 is priced at $0.60 per million input tokens and $2.20 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 zai-org/glm-4.6?
zai-org/glm-4.6 has a context window of 205K tokens, with a maximum output of 131K tokens per response. That's roughly 273 words of input you can fit in a single prompt.
How does zai-org/glm-4.6 perform on benchmarks?
zai-org/glm-4.6 scores 86.0% on Math Index, 86.0% on AIME 2025, 82.9% on MMLU Pro. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can zai-org/glm-4.6 do?
zai-org/glm-4.6 supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use zai-org/glm-4.6 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 "novita/zai-org/glm-4.6". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run zai-org/glm-4.6 through Requesty?
Yes. zai-org/glm-4.6 runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/zai-org/glm-4.6", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access zai-org/glm-4.6 through Requesty

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

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