Last refreshed 2026-06-15. Next refresh: weekly.
Why use Mistral 7B OpenOrca on Together AI?
Together AI offers Mistral 7B OpenOrca 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 Mistral 7B OpenOrca 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="mistral-7b-openorca",mistral-7b-openorcaRequest example
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)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 Mistral 7B OpenOrca Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.20 | $0.20 |
| Fireworks AI | $0.20 | $0.20 |
Pricing
| 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.