GLM 5 Turbo

GLM-5-Turbo is Z-AI's speed-tier text model for real-time chat completions, tool calling, and multi-turn agent loops. It's text-in, text-out, with a 262K context window and configurable reasoning. On GPTProto you call the GLM-5-Turbo API at $1.08 / $3.60 per 1M tokens — 10% under list — using one balance that also covers 200+ other models.

Modalities

Context

API Usage Examples

curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "glm-5-turbo",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

GLM 5 Turbo pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.

Your usage

Model

Z-AI · ≈ 148M tokens/mo (48M cached)

Monthly volume

OpenRouter

List + 5.5% credit fee

$137.07

per month

Input (non-cached)$40.51

Cache read$12.1535

Output$84.40

Z-AI

Direct from Z-AI (list price)

$129.92

per month

Input (non-cached)$38.40

Cache read$11.52

Output$80

BEST VALUE

GPTProto

10% off official

$116.93

per month

After discount$116.93

Effective$116.93

Monthly cost by source

OpenRouter

$137.07

Z-AI

$129.92

GPTProto

$116.93

Save $12.99 / month

on GPTProto vs Z-AI (−10%)

Annual savings ≈ $155.90 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models

All Models

GLM 5 Turbo

Current

byZ-AI203K context$1.08/M input$3.6/M output

DeepSeek Flash

byDeepSeek$0.3/M input$1.2/M output

Hy4 Preview

byHunyuan1.05M context$0.7923/M input$2.376/M output

GPT 6 Astra

byOpenAI1.05M context$8/M input$40/M output

Gemini 3.8 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Claude Fable 5.1

byClaude1M context$9/M input$45/M output

Qwen3.8 Max 0902

byQwen1M context$1.8/M input$5.4/M output

GLM 5.3 Flash

byZ-AI1.31M context$0.15/M input$0.5/M output

DeepSeek v4 Flash Vision Exp

byDeepSeek1.05M context$0.3/M input$1.2/M output

GLM 5.3

byZ-AI1.31M context$1.26/M input$3.96/M output

Gemini 3.7 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Grok 4.6

byGrok500K context$1.2/M input$3.6/M output

Qwen3.8 Max

byQwen1M context$1.8/M input$5.4/M output

Claude Opus 5

byClaude1M context$4.5/M input$22.5/M output

Gemini 3.6 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Kimi K3

byMoonshotAI1.05M context$2.7/M input$13.5/M output

GPT 5.6 Luna

byOpenAI1.05M context$0.16/M input$0.96/M output

GPT 5.6 Terra

byOpenAI1.05M context$1.6/M input$9.6/M output

Grok 4.5

byGrok500K context$1.2/M input$3.6/M output

Claude Sonnet 5

byClaude1M context$1.8/M input$9/M output

Minimax M3

byMiniMax1.05M context$0.48/M input$0.96/M output

GLM 5.2

byZ-AI1.05M context$1.26/M input$3.96/M output

Qwen3.7 Max

byQwen1M context$0.36/M input$1.44/M output

DeepSeek v4 Flash

byDeepSeek1.05M context$0.3/M input$1.2/M output

Grok 4.3

byGrok1M context$0.75/M input$1.5/M output

Kimi K2.6

byMoonshotAI262K context$0.855/M input$3.6/M output

GLM 5.1

byZ-AI205K context$1.26/M input$3.96/M output

Minimax M2.5

byMiniMax205K context$0.24/M input$0.96/M output

Kimi K2.5

byMoonshotAI262K context$0.54/M input$2.7/M output

GLM 5

byZ-AI205K context$0.9/M input$2.88/M output

Doubao Seed 1.6 Thinking (Build 250715)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Thinking (Build 250615)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Flash (Build 250615)

byBytedance262K context$0.0182/M input$0.1821/M output

Model					Input → Output
GLM 5 TurboCurrent $		203K	$1.08 / $3.60 per 1M	$0.22 / $0.22 per 1M	Input: TextInput: Document Output: Text
DeepSeek Flash $	—	—	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
Hy4 Preview $		1.05M	$0.79 / $2.38 per 1M	— / $0.04 per 1M	Input: Text Output: Text
GPT 6 Astra $		1.05M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.8 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
Claude Fable 5.1 $		1M	$9.00 / $45.00 per 1M	$11.25 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.8 Max 0902 $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
GLM 5.3 Flash $	—	1.31M	$0.15 / $0.50 per 1M	— / $0.03 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
DeepSeek v4 Flash Vision Exp $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
GLM 5.3 $		1.31M	$1.26 / $3.96 per 1M	— / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.7 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.6 $		500K	$1.20 / $3.60 per 1M	— / $0.30 per 1M	Input: TextInput: Image Output: Text
Qwen3.8 Max $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
Claude Opus 5 $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Kimi K3 $		1.05M	$2.70 / $13.50 per 1M	$0.27 / $0.27 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Luna $		1.05M	$0.16 / $0.96 per 1M	$0.20 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Terra $		1.05M	$1.60 / $9.60 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.5 $		500K	$1.20 / $3.60 per 1M	$0.30 / $0.30 per 1M	Input: TextInput: Image Output: Text
Claude Sonnet 5 $		1M	$1.80 / $9.00 per 1M	$2.25 / $0.18 per 1M	Input: TextInput: Document Output: Text
Minimax M3 $		1.05M	$0.48 / $0.96 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
GLM 5.2 $		1.05M	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.7 Max $		1M	$0.36 / $1.44 per 1M	$0.07 / $0.07 per 1M	Input: TextInput: Document Output: Text
DeepSeek v4 Flash $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: Text Output: Text
Grok 4.3 $		1M	$0.75 / $1.50 per 1M	$0.12 / $0.12 per 1M	Input: TextInput: Image Output: Text
Kimi K2.6 $		262K	$0.85 / $3.60 per 1M	$0.14 / $0.14 per 1M	Input: TextInput: Document Output: Text
GLM 5.1 $		205K	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: Document Output: Text
Minimax M2.5 $		205K	$0.24 / $0.96 per 1M	$0.30 / $0.02 per 1M	Input: TextInput: Document Output: Text
Kimi K2.5 $		262K	$0.54 / $2.70 per 1M	$0.09 / $0.09 per 1M	Input: TextInput: Document Output: Text
GLM 5 $		205K	$0.90 / $2.88 per 1M	$0.18 / $0.18 per 1M	Input: TextInput: Document Output: Text
Doubao Seed 1.6 Thinking (Build 250715) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Thinking (Build 250615) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Flash (Build 250615) $		262K	$0.02 / $0.18 per 1M	—	Input: TextInput: Image Output: Text

GLM-5-Turbo API: Affordable Z-AI Access on GPTProto

What Is GLM-5-Turbo?

GLM-5-Turbo is a text-to-text model from Z-AI (Zhipu AI). It takes text prompts and returns text — there is no image or audio input — so treat it as a chat, reasoning, and generation engine, not a multimodal one. It supports a 262K-token context window, streaming responses, function / tool calling, stop sequences, and temperature / top_p control (defaults 0.95 / 0.7). GLM-5-Turbo is a closed-weight model — it isn't available for download, so the only way to run it is through an API. On GPTProto you consume the GLM-5-Turbo model API as a hosted endpoint (model string glm-5-turbo), which removes GPU provisioning and quota setup. Full request and parameter details are in the glm-5-turbo API documentation.

GLM-5-Turbo vs GLM-5 vs GLM-5.2

All three are on GPTProto under one balance. Pick by the trade-off you care about:

GLM-5-Turbo	GLM-5	GLM-5.2
Best for	High-volume chat, agents, low latency	Flagship reasoning quality	Latest-generation capability
Positioning	Speed / cost tier	Flagship base	Newest release
Price (per 1M)	$1.08 in / $3.60 out	See GLM-5 page	See GLM-5.2 page
Model string	`glm-5-turbo`	`glm-5`	`glm-5.2`
Choose when	You need the cheapest, fastest GLM-5-class responses	You want top-tier reasoning depth	You want the most recent GLM improvements

For most production traffic, start on GLM-5-Turbo and route only the hardest prompts to glm-5 or glm-5.2 — same API, one line changes.

Switching to the GLM-5-Turbo API (drop-in)

If you already call Z-AI or any OpenAI-compatible endpoint, moving to the GLM-5-Turbo API access on GPTProto is a drop-in change — you don't rewrite your app. Point the base URL at https://gptproto.com/v1, use your GPTProto key for Authorization, and set the model to glm-5-turbo. Your existing messages array, streaming, and tool-calling code stay the same:

# only the model string (and base URL + key) change:
"model": "glm-5-turbo"

One balance, dollar-based billing

GPTProto uses a plain dollar balance, not points or per-model credits. You top up once, spend against the same balance for GLM-5-Turbo and every other model, and track real-time usage in the dashboard — useful when a project mixes GLM-5-Turbo for volume with a flagship model for hard prompts.

Frequently Asked Questions about glm-5-turbo

Expert answers to the most common questions about using glm-5-turbo on the GPTProto platform.

What is glm-5-turbo and how does it differ from standard models?

GLM-5-Turbo is Z-AI's speed tier: faster and cheaper per token than flagship GLM-5, tuned for high-volume chat and agents rather than maximum reasoning depth.

How can I start using the glm-5-turbo API on GPTProto?

To start using the glm-5-turbo API, simply create an account on GPTProto, obtain your API key, and specify 'glm-5-turbo' in your model parameter during a POST request to our completions endpoint. Our system handles the heavy lifting of scaling and reliability.

What is the maximum context window for glm-5-turbo?

262K tokens, enough for long documents and multi-turn agent sessions in a single request.

Does glm-5-turbo support tool calling and function use?

Yes — native function calling, streaming (stream: true), and stop sequences, in the OpenAI chat-completions format.

Is glm-5-turbo open source?

No. GLM-5-Turbo is a closed-weight model, available only via API. On GPTProto you access it as a hosted endpoint, so there's no GPU setup.

Is glm-5-turbo suitable for multilingual tasks?

Absolutely. The glm-5-turbo model is trained on diverse datasets and excels in many languages, including English, Chinese, and European languages. This makes glm-5-turbo ideal for global applications requiring accurate translation and cultural nuance.

How does glm-5-turbo compare to glm-5?

Same family, one API — GLM-5-Turbo optimizes speed and cost ($1.08/$3.60 per 1M); GLM-5 targets top reasoning quality. See the GLM-5 page.

How does glm-5-turbo handle data privacy and security?

Data security is a top priority. When using glm-5-turbo through GPTProto, your inputs are processed securely and are not used to train the base model without your explicit consent. We ensure that your glm-5-turbo sessions remain private and compliant with industry standards.

What are some expert tips for prompting glm-5-turbo effectively?

To get the best results from glm-5-turbo, use clear and descriptive system messages. Providing examples (few-shot prompting) within the messages array can significantly improve the accuracy and tone of the glm-5-turbo response for specialized tasks.

Does GPTProto provide a dashboard to track glm-5-turbo usage?

Yes, our dashboard provides comprehensive real-time analytics for your glm-5-turbo API calls. You can track token consumption, cost, and latency metrics to optimize your implementation of the glm-5-turbo model.

GLM-5-Turbo API: Affordable Z-AI Access on GPTProto

What Is GLM-5-Turbo?

GLM-5-Turbo vs GLM-5 vs GLM-5.2

Switching to the GLM-5-Turbo API (drop-in)

One balance, dollar-based billing

Frequently Asked Questions about glm-5-turbo

What is glm-5-turbo and how does it differ from standard models?

How can I start using the glm-5-turbo API on GPTProto?

What is the maximum context window for glm-5-turbo?

Does glm-5-turbo support tool calling and function use?

Is glm-5-turbo open source?

Is glm-5-turbo suitable for multilingual tasks?

How does glm-5-turbo compare to glm-5?

How does glm-5-turbo handle data privacy and security?

What are some expert tips for prompting glm-5-turbo effectively?

Does GPTProto provide a dashboard to track glm-5-turbo usage?

Further Reading

GLM-4.5: Architecture & Reasoning

glm-4.6: The Uncensored Local AI

Openai API Key: Setup & Security Guide

OpenAI in 2026: The Great Industry Reset & Future