GLM 4.6 Fp8

Open weights

GLM 4.6 Fp8 is a language model from Zai Org with a 198K-token context window. Provider list price is $0.60 per million input tokens and $2.20 per million output; on Allocate you pay $0.64 and $2.35 with the 7% transaction fee. The weights are open under MIT, so you can fine-tune it and own the result.

Route GLM 4.6 Fp8 Talk to sales

Pricing

Provider listOn Allocate

Input, per M tokens$0.60$0.64

Output, per M tokens$2.20$2.35

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

Price against its peers

GLM 4.7 FP8$0.45$2

GLM 4.6 Fp8$0.60$2.20

Qwen2-VL (72B) Instruct$1.20$1.20

Qwen2.5 72B Instruct$1.20$1.20

Qwen2.5 72B Instruct Turbo$1.20$1.20

Qwen QwQ-32B$1.20$1.20

Cogito v2.1 671B$1.25$1.25

DeepSeek R1 Distill Qwen 14B$1.60$1.60

InputOutput

Provider list prices per M tokens, GLM 4.6 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 × $0.60 + 350 × $2.20 = $1,490 a month. Billed on Allocate it is $1,594 with the 7% transaction fee.

GLM 4.6 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-4.6 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-4.6",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · z-ai/glm-4.6 · inside your boundary

Common questions

How much does GLM 4.6 Fp8 cost per million tokens?

Provider list price is $0.60 per million input tokens and $2.20 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.64 in and $2.35 out.

What context window does GLM 4.6 Fp8 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 4.6 Fp8?

Yes. GLM 4.6 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 4.6 Fp8 on Allocate?

Send z-ai/glm-4.6 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.