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GLM-5

GLM-5 is an open-source foundation model engineered for complex system engineering and long-horizon Agent tasks, delivering reliable productivity for top-tier programmers. Transcending the boundary from "writing code" to "building systems," it moves beyond traditional snippet generation to offer senior-architect-level planning and execution capabilities. By rejecting the "frontend-heavy, logic-light" approach, GLM-5 demonstrates exceptional reasoning and self-healing abilities in backend refactoring, complex algorithm implementation, and deep debugging—autonomously analyzing logs and iteratively fixing persistent bugs until the system runs. As the first open-source model featuring Opus-class style and system engineering depth, GLM-5 provides extreme logic density alongside the freedom of local deployment and high cost-effectiveness, making it the ideal choice for large-scale backend development and automated Agent construction.

ReasoningTool callingCaching
Try GLM-5CompareDocs

Specifications

Context window203K tokens
Max output131K tokens
API typechat
AddedMar 20, 2026
Model IDnovita/GLM-5
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Released 2026-02-11
Coding Indexcoding
44.2%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
82.0%

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

Intelligence Indexreasoning
49.8%

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
$1.00
Output / 1M
$3.20
Cache write
—
Cache read / 1M
$0.20
Estimated cost
100K input + 10K output$0.13
1M input + 100K output$1.32
10M input + 1M output$13.20

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/GLM-5.

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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/GLM-5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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xiaomimimo/mimo-v2-flash
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minimax/minimax-m2.7-highspeed
205K ctx$0.60/1M
kwaipilot/kat-coder-pro
256K ctx$0.30/1M
inclusionai/ring-2.6-1t
262K ctx$0.30/1M
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Frequently asked questions

How much does GLM-5 cost?
GLM-5 is priced at $1.00 per million input tokens and $3.20 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of GLM-5?
GLM-5 has a context window of 203K tokens, with a maximum output of 131K tokens per response. That's roughly 270 words of input you can fit in a single prompt.
How does GLM-5 perform on benchmarks?
GLM-5 scores 98.2% on τ²-Bench, 82.0% on GPQA Diamond, 49.8% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can GLM-5 do?
GLM-5 supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use GLM-5 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/GLM-5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access GLM-5 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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