Last refreshed 2026-04-19. Next refresh: weekly.
Why use Qwen1.5-32B on Replicate API?
Replicate API offers Qwen1.5-32B with pay-as-you-go pricing at $0.20/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Qwen1.5-32B across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install replicateexport REPLICATE_API_TOKEN=...import replicate
output = replicate.run(
"qwen1.5-32b",
input={"prompt": "Hello"}qwen1.5-32bRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# qwen1.5-32b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"qwen1.5-32b",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Compare Qwen1.5-32B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.80 | $0.80 |
| Replicate API | $0.20 | $1.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $1.00 |
Capabilities
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 Replicate API?
On Replicate API, Qwen1.5-32B costs $0.20 per 1M input tokens and $1.00 per 1M output tokens.
How does Replicate API 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.