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Glm 4.5 Air Fp8

Open weights

Glm 4.5 Air Fp8 is a language model from Zai Org with a 128K-token context window. Provider list price is $0.20 per million input tokens and $1.10 per million output; on Allocate you pay $0.21 and $1.18 with the 7% transaction fee. The weights are open under MIT, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$0.20$0.21
Output, per M tokens$1.10$1.18

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

Price against its peers

Glm 4.5 Air Fp8$0.20$1.10
GLM 4.5 Air$0.20$1.10
MiniMax M3$0.30$1.20
InputOutput

Provider list prices per M tokens, Glm 4.5 Air Fp8 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 × $0.20 + 350 × $1.10 = $625 a month. Billed on Allocate it is $668.75 with the 7% transaction fee.

Glm 4.5 Air Fp8 is an open-weights model under the MIT license. Fine-tune it on your own data and the weights stay inside your boundary; they belong to you.

Example usage

Point a route at z-ai/glm-4.5-air-fp8 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-4.5-air-fp8",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · z-ai/glm-4.5-air-fp8 · inside your boundary

Common questions

How much does Glm 4.5 Air Fp8 cost per million tokens?

Provider list price is $0.20 per million input tokens and $1.10 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.21 in and $1.18 out.

What context window does Glm 4.5 Air Fp8 have?

131,072 tokens (128K). At roughly 0.75 words per token, that is about 98k words of English text per request.

Can I fine-tune Glm 4.5 Air Fp8?

Yes. Glm 4.5 Air Fp8 is an open-weights model under the MIT license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Glm 4.5 Air Fp8 on Allocate?

Send z-ai/glm-4.5-air-fp8 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.

Compare against