GLM 5 Fp4

Open weights

GLM 5 Fp4 is a language model from Zai Org with a 198K-token context window. Provider list price is $1 per million input tokens and $3.20 per million output; on Allocate you pay $1.07 and $3.42 with the 7% transaction fee. The weights are open, so you can fine-tune it and own the result.

Route GLM 5 Fp4 Talk to sales

Pricing

Provider listOn Allocate

Input, per M tokens$1$1.07

Output, per M tokens$3.20$3.42

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

Qwen3.6 Plus$0.50$3

NVIDIA Nemotron 3 Ultra 550B A55B NVFP4$0.60$3.60

Qwen3.5 397B A17b$0.60$3.60

Kimi K2.7 Code$0.95$4

GLM 5 Fp4$1$3.20

Qwen3.7 Max$1.25$3.75

DeepSeek R1 Distill Llama 70B$2$2

Qwen3 Coder 480B A35B Instruct Fp8$2$2

InputOutput

Provider list prices per M tokens, GLM 5 Fp4 against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1 + 350 × $3.20 = $2,320 a month. Billed on Allocate it is $2,482 with the 7% transaction fee.

GLM 5 Fp4 is an open-weights model; the catalog does not list its license, so check the lab’s model card before commercial fine-tuning.

Example usage

Point a route at z-ai/glm-5 and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network

curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "z-ai/glm-5",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · z-ai/glm-5 · inside your boundary

Common questions

How much does GLM 5 Fp4 cost per million tokens?

Provider list price is $1 per million input tokens and $3.20 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $1.07 in and $3.42 out.

What context window does GLM 5 Fp4 have?

202,752 tokens (198K). At roughly 0.75 words per token, that is about 152k words of English text per request.

Can I fine-tune GLM 5 Fp4?

Yes. GLM 5 Fp4 is an open-weights model; check the lab’s model card for the exact license terms. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call GLM 5 Fp4 on Allocate?

Send z-ai/glm-5 in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.