Glm 4.5 Air Fp8
Open weightsGlm 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
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
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.
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."}] }'
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.