GLM-5.3-Flash on Together AI

GLM-5 · Zhipu AI

Serverless
Open Source

Last refreshed 2026-11-12. Next refresh: weekly.

Why use GLM-5.3-Flash on Together AI?

Together AI offers GLM-5.3-Flash with pay-as-you-go pricing at $0.15/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Compare GLM-5.3-Flash across 5 providers to find the best fit for your use case
Input / 1M
$0.15
Output / 1M
$0.50
Cache
read $0.030
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="zai-org/GLM-5.3-Flash",
Model ID
zai-org/GLM-5.3-Flash

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="zai-org/GLM-5.3-Flash",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "zai-org/GLM-5.3-Flash", not the LLMReference slug "glm-5.3-flash".
  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Compare GLM-5.3-Flash Across Providers

ProviderInput (per 1M)Output (per 1M)
Z.ai$0.15$0.50
OpenRouter$0.15$0.50
Together AI$0.15$0.50
Fireworks AI$0.15$0.50
Vercel AI Gateway$0.15$0.50

Pricing

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.50

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About GLM-5.3-Flash

GLM-5.3-Flash is Z.ai's first native multimodal model in the GLM-5 series. It is a 320B-total / 18B-active Mixture-of-Experts model with a 1M-token context window and 131,072 max output tokens, supporting image, video, and file input plus function calling, tool use, structured outputs, reasoning, and prompt caching. MIT open weights are ungated on Hugging Face at zai-org/GLM-5.3-Flash. Official API model ID: glm-5.3-flash. The same model was previously tested anonymously as ox-alpha; that name is not a separate catalog slug.

Get Started

Model Specs

Released2026-08-26
Parameters320B (18B active)
Context1M
ArchitectureMixture of Experts

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