Last refreshed 2026-04-19. Next refresh: weekly.
Why use Mistral 7B OpenOrca on Fireworks AI?
Fireworks AI offers Mistral 7B OpenOrca with pay-as-you-go pricing at $0.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Mistral 7B OpenOrca across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport FIREWORKS_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],accounts/fireworks/models/openorca-7bRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/openorca-7b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/openorca-7b", not the LLMReference slug "mistral-7b-openorca".
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_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.