GLM 5.1 API Pricing
As of October 10, 2026, GLM 5.1 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens on Z.ai, with cache reads at $0.26 and cache writes at $0 per 1M tokens. Across 10 providers on LiteLLM, the input price ranges from $1.05 to $1.40. It has a 200,000-token context window and returns up to 128,000 tokens per response.
- Input
- $1.40 / 1M tokens
- Output
- $4.40 / 1M tokens
- Cache read
- $0.26 / 1M tokens
- Context window
- 200,000 tokens
- Max output
- 128,000 tokens
- Providers
- 10
- Added to LiteLLM
- May 2026
GLM 5.1 pricing by provider
11 listings across 10 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Cache write | Context |
|---|---|---|---|---|---|---|
| Z.ai | zai/glm-5.1 | $1.40 | $4.40 | $0.26 | $0 | 200K |
| Alibaba Cloud Model Studio | dashscope/glm-5.1 | $1.40 | $4.40 | $0.26 | – | 203K |
| DeepInfra | deepinfra/zai-org/GLM-5.1 | $1.05 | $3.50 | $0.205 | – | 198K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/glm-5p1 | $1.40 | $4.40 | $0.26 | – | 203K |
| Fireworks AI | fireworks_ai/glm-5p1 | $1.40 | $4.40 | $0.26 | – | 203K |
| FriendliAI | friendliai/zai-org/GLM-5.1 | $1.40 | $4.40 | $0.26 | – | 198K |
| Nebius AI Studio | nebius/zai-org/GLM-5.1 | $1.40 | $4.40 | – | – | 198K |
| Novita AI | novita/zai-org/glm-5.1 | $1.38 | $4.40 | $0.26 | – | 200K |
| Qianwen AI Platform | qwen_ai_platform/glm-5.1 | $1.40 | $4.40 | $0.26 | – | 203K |
| QwenCloud | qwencloud/glm-5.1 | $1.40 | $4.40 | $0.26 | – | 203K |
| Together AI | together_ai/zai-org/GLM-5.1 | $1.40 | $4.40 | $0.26 | – | 198K |
What GLM 5.1 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Z.ai | $5.00 |
| DeepInfra | $3.85 |
| Novita AI | $4.96 |
| Alibaba Cloud Model Studio | $5.00 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Z.ai | $14.88 |
| DeepInfra | $11.20 |
| Novita AI | $14.68 |
| Alibaba Cloud Model Studio | $14.88 |
GLM 5.1 features
- Function calling
- Parallel tool calls
- Structured output
- Reasoning
- Prompt caching
Use GLM 5.1 with LiteLLM
Call GLM 5.1 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="zai/glm-5.1",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: glm-5.1
litellm_params:
model: zai/glm-5.1
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "glm-5.1",
"messages": [{"role": "user", "content": "Hello!"}]
}'GLM 5.1 FAQ
How much does GLM 5.1 cost?
GLM 5.1 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens on Z.ai, with cache reads at $0.26 and cache writes at $0 per 1M tokens. Across 10 providers on LiteLLM, the input price ranges from $1.05 to $1.40.
What is the context window of GLM 5.1?
GLM 5.1 has a 200,000-token context window and returns up to 128,000 tokens per response.
Which providers offer GLM 5.1?
GLM 5.1 is available from 10 providers through LiteLLM: Z.ai, Alibaba Cloud Model Studio, DeepInfra, Fireworks AI, FriendliAI, Nebius AI Studio, Novita AI, Qianwen AI Platform, QwenCloud and Together AI. The lowest price is on DeepInfra.
How do I call GLM 5.1 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="zai/glm-5.1", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does GLM 5.1 support?
GLM 5.1 supports function calling, parallel tool calls, structured output, reasoning and prompt caching.
When did LiteLLM add GLM 5.1?
GLM 5.1 was added to LiteLLM's model price file in May 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
- docs.z.ai/guides/overview/pricing
- www.alibabacloud.com/help/en/model-studio/models
- deepinfra.com/pricing
- docs.fireworks.ai/serverless/pricing
LiteLLM docs: Z.ai, Alibaba Cloud Model Studio, DeepInfra, Fireworks AI, FriendliAI, Nebius AI Studio.
Provider pages: Z.ai, Alibaba Cloud Model Studio, DeepInfra, Fireworks AI, FriendliAI, Nebius AI Studio, Novita AI, Qianwen AI Platform, QwenCloud, Together AI.
