Last refreshed 2026-05-11. Next refresh: weekly.
Why use Qwen1.5-7B on Together AI?
Together AI offers Qwen1.5-7B with pay-as-you-go pricing at $0.20/1M 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 Qwen1.5-7B across 4 providers to find the best fit for your use caseInput / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install togetherAuth
export TOGETHER_API_KEY=...Call
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen1.5-7b",Model ID
qwen1.5-7bRequest example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen1.5-7b",
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 Qwen1.5-7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Alibaba Cloud PAI-EAS | — | — |
| Cloudflare Workers AI | — | — |
| Together AI | $0.20 | $0.20 |
| Replicate API | $0.05 | $0.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
Structured Outputs
FAQ
What does Qwen1.5-7B cost on Together AI?
On Together AI, Qwen1.5-7B costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.
How does Together AI compare to other Qwen1.5-7B providers?
Qwen1.5-7B is available from 4 providers. The cheapest input pricing is $0.05/1M tokens from Replicate API.
Who created Qwen1.5-7B?
Qwen1.5-7B was created by Alibaba as part of the Qwen1.5 model family.
Is Qwen1.5-7B open source?
Qwen1.5-7B is open source under Apache 2.0 according to the seed data.
Get Started
Model Specs
Released2024-02-05
Parameters7B
ArchitectureDecoder Only