Last refreshed 2026-05-11. Next refresh: weekly.
Why use Qwen1.5-110B on Together AI?
Together AI offers Qwen1.5-110B with pay-as-you-go pricing at $1.80/1M 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 Qwen1.5-110B across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install togetherexport TOGETHER_API_KEY=...from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen1.5-110b",qwen1.5-110bRequest example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen1.5-110b",
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 Qwen1.5-110B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $1.50 | $2.50 |
| Together AI | $1.80 | $1.80 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.80 |
| Output tokens | $1.80 |
Capabilities
About Qwen1.5-110B
The Qwen1.5-110B is a large language model created by Alibaba Cloud, distinguished as the largest in the Qwen1.5 series. It is a transformer-based, decoder-only model equipped with 110 billion parameters and optimized for efficiency using features like SwiGLU activation and Grouped Query Attention (GQA). Pretrained on an extensive dataset, it supports a 32K context length and multilingual capabilities, handling various languages including English and Chinese. The model excels in tasks like text generation, dialogue systems, and is noted for its competitive performance and advanced tokenizer, making it highly versatile and applicable across multiple NLP tasks. Various quantized versions are available to accommodate different hardware specifications.
FAQ
What does Qwen1.5-110B cost on Together AI?
On Together AI, Qwen1.5-110B costs $1.8 per 1M input tokens and $1.8 per 1M output tokens.
How does Together AI compare to other Qwen1.5-110B providers?
Qwen1.5-110B is available from 2 providers. The cheapest input pricing is $1.50/1M tokens from Microsoft Foundry.
Who created Qwen1.5-110B?
Qwen1.5-110B was created by Alibaba as part of the Qwen1.5 model family.
Is Qwen1.5-110B open source?
Qwen1.5-110B is open source under Apache 2.0 according to the seed data.