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Together AI

Qwen1.5-32B on Together AI

Qwen1.5 · Alibaba

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Qwen1.5-32B on Together AI?

Together AI offers Qwen1.5-32B with pay-as-you-go pricing at $0.80/1M 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 Qwen1.5-32B across 2 providers to find the best fit for your use case
Input / 1M
$0.80
Output / 1M
$0.80
Cache
Not sourced
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="qwen1.5-32b",
Model ID
qwen1.5-32b

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="qwen1.5-32b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • 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 Qwen1.5-32B Across Providers

ProviderInput (per 1M)Output (per 1M)
Together AI$0.80$0.80
Replicate API$0.20$1.00

Pricing

TypePrice (per 1M)
Input tokens$0.80
Output tokens$0.80

Capabilities

Structured Outputs

About Qwen1.5-32B

Qwen1.5-32B is a robust large language model from the Qwen1.5 series, serving as a beta version of Qwen2. It is a transformer-based, decoder-only model, pretrained on an extensive dataset. Key features include its 32 billion parameters and a support for up to 32K context length, alongside multilingual capabilities. The model demonstrates substantial performance enhancements over its predecessor, especially in chat applications, using advanced techniques like SwiGLU activation and group query attention. While there's a base version, the chat variant is fine-tuned for conversational AI. It's accessible on Hugging Face and other platforms for diverse applications.

FAQ

What does Qwen1.5-32B cost on Together AI?

On Together AI, Qwen1.5-32B costs $0.8 per 1M input tokens and $0.8 per 1M output tokens.

How does Together AI compare to other Qwen1.5-32B providers?

Qwen1.5-32B is available from 2 providers. The cheapest input pricing is $0.20/1M tokens from Replicate API.

Who created Qwen1.5-32B?

Qwen1.5-32B was created by Alibaba as part of the Qwen1.5 model family.

Is Qwen1.5-32B open source?

Qwen1.5-32B is open source under Apache 2.0 according to the seed data.

Get Started

Model Specs

Released2024-02-05
Parameters32B
ArchitectureDecoder Only