Using Mistral 7B OpenOrca on Together AI
Implementation guide · OpenOrca · Alignment Lab AI
Together AI exposes Mistral 7B OpenOrca through model ID mistral-7b-openorca. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
mistral-7b-openorca— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYmistral-7b-openorcaTogether 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.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="mistral-7b-openorca",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About Mistral 7B OpenOrca
The OpenOrca Mistral 7B is a high-performance open-source AI model that builds upon the Mistral 7B base, known for its outstanding efficiency relative to its compact size 1. Utilizing a transformer architecture, it incorporates innovations like sliding window attention and a rolling buffer cache to reduce memory use and enhance processing on conventional GPUs 8. The model excels in tasks such as text and code generation, question answering, and dialogue, often outperforming larger counterparts on various benchmarks 2.