Last refreshed 2026-04-24. Next refresh: weekly.
Why use Mixtral 8x7B on DeepInfra?
DeepInfra offers Mixtral 8x7B with pay-as-you-go pricing at $0.54/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Mixtral 8x7B across 18 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"],mixtral-8x7bRequest 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="mixtral-8x7b",
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 Mixtral 8x7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Databricks Foundation Model Serving | $0.50 | $1.00 |
| NVIDIA NIM | — | — |
| GCP Vertex AI | $0.40 | $1.20 |
| AWS Bedrock | $0.45 | $0.70 |
| OctoAI API (Deprecated) | $0.45 | $0.45 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.54 |
| Output tokens | $0.54 |
Capabilities
No model capability flags are currently sourced.
About Mixtral 8x7B
Mixtral 8x7B, developed by Mistral AI, features a cutting-edge Mixture of Experts (MoE) architecture, utilizing eight experts with seven billion parameters each, yielding a total of 46.7 billion parameters. This architecture activates only two experts per token, allowing for efficient processing and a 6x faster inference rate compared to Llama 2 70B. The model excels in performance, surpassing Llama 2 70B and competing with GPT-3.5 on numerous benchmarks. It supports multiple languages and can handle context up to 32,000 tokens, enhancing understanding of lengthy text. Designed for diverse tasks, it is strong in code generation and available under a permissive Apache 2.0 license, promoting community engagement. Compatible with various optimization tools, its weights are easily deployable, with Mistral AI continuing to improve its capabilities through performance optimizations and fine-tuning efforts.
FAQ
What does Mixtral 8x7B cost on DeepInfra?
On DeepInfra, Mixtral 8x7B costs $0.54 per 1M input tokens and $0.54 per 1M output tokens.
What is the context window for Mixtral 8x7B on DeepInfra?
Mixtral 8x7B supports a 32,000 token context window on DeepInfra.
How does DeepInfra compare to other Mixtral 8x7B providers?
Mixtral 8x7B is available from 18 providers. The cheapest input pricing is $0.15/1M tokens from Mistral AI Studio.
Who created Mixtral 8x7B?
Mixtral 8x7B was created by MistralAI as part of the Mixtral model family.
Is Mixtral 8x7B open source?
Mixtral 8x7B is open source under Apache 2.0 according to the seed data.