Last refreshed 2026-05-05. Next refresh: weekly.
Why use Mistral 7B v0.1 on DeepInfra?
DeepInfra offers Mistral 7B v0.1 with pay-as-you-go pricing at $0.05/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Mistral 7B v0.1 across 16 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport DEEPINFRA_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],mistral-7b-v0.1Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="mistral-7b-v0.1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Compare Mistral 7B v0.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GCP Vertex AI | $0.08 | $0.24 |
| OctoAI API (Deprecated) | $0.15 | $0.15 |
| DeepInfra | $0.05 | $0.15 |
| Mistral AI Studio | $0.25 | $0.25 |
| Baseten API | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.05 |
| Output tokens | $0.15 |
Capabilities
No model capability flags are currently sourced.
About Mistral 7B v0.1
Mistral 7B v0.1 is an advanced open-source large language model built by Mistral AI, consisting of 7 billion parameters. It's designed to deliver high performance and efficiency, outperforming many similar-sized models in various benchmarks. The model employs a transformer architecture with innovative features like Sliding Window Attention, Grouped-Query Attention, and a Byte-fallback BPE tokenizer, enhancing speed, reducing computational costs, and improving robustness. Capable of generating human-like text, following instructions effectively, and excelling in areas such as reasoning and mathematics, Mistral 7B v0.1 does have limitations, such as a lack of built-in moderation and a potential for hallucinations. Subsequent versions have sought to address these limitations while introducing extended context windows and improved instruction-following capabilities.
FAQ
What does Mistral 7B v0.1 cost on DeepInfra?
On DeepInfra, Mistral 7B v0.1 costs $0.05 per 1M input tokens and $0.15 per 1M output tokens.
What is the context window for Mistral 7B v0.1 on DeepInfra?
Mistral 7B v0.1 supports a 8,000 token context window on DeepInfra.
How does DeepInfra compare to other Mistral 7B v0.1 providers?
Mistral 7B v0.1 is available from 16 providers. The cheapest input pricing is $0.05/1M tokens from DeepInfra.
Who created Mistral 7B v0.1?
Mistral 7B v0.1 was created by MistralAI as part of the Mistral 7B model family.
Is Mistral 7B v0.1 open source?
Mistral 7B v0.1 is open source under Apache 2.0 according to the seed data.