Last refreshed 2026-05-11. Next refresh: weekly.
Why use Mixtral 8x22B v0.1 on Together AI?
Together AI offers Mixtral 8x22B v0.1 with pay-as-you-go pricing at $1.20/1M 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 Mixtral 8x22B v0.1 across 8 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="mixtral-8x22b-v0.1",mixtral-8x22b-v0.1Request example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="mixtral-8x22b-v0.1",
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 Mixtral 8x22B v0.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| OctoAI API (Deprecated) | $1.20 | $1.20 |
| Fireworks AI | $1.20 | $1.20 |
| DeepInfra | $0.65 | $0.65 |
| Baseten API | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.20 |
| Output tokens | $1.20 |
Capabilities
No model capability flags are currently sourced.
About Mixtral 8x22B v0.1
The Mixtral 8x22B v0.1 is a pretrained generative Sparse Mixture of Experts (MoE) model created by Mistral AI [1][2][4]. It utilizes a specialized architecture where different sub-models, termed "experts," manage distinct input segments, enhancing both efficiency and performance relative to traditional large language models [2][10][12]. This model features an impressive 176 billion parameters and supports a context length of 65,000 tokens [10][13]. It excels in text generation, completion, and question answering, outperforming models like LLaMA 2 70B on various benchmarks [4][5][7]. Nonetheless, as a base model, it lacks inherent moderation capabilities, potentially generating inappropriate or harmful content without filtration [2][4][10]. The model requires significant VRAM—approximately 260GB in FP16 mode and 73GB in INT4 mode—for optimal operation [10][13] and may struggle with complex contextual understanding and current knowledge. Enhanced instruct-tuned versions, such as the Mixtral-8x22B-Instruct-v0.1, address some limitations by improving instruction adherence [3][5][6].
FAQ
What does Mixtral 8x22B v0.1 cost on Together AI?
On Together AI, Mixtral 8x22B v0.1 costs $1.2 per 1M input tokens and $1.2 per 1M output tokens.
What is the context window for Mixtral 8x22B v0.1 on Together AI?
Mixtral 8x22B v0.1 supports a 64,000 token context window on Together AI.
How does Together AI compare to other Mixtral 8x22B v0.1 providers?
Mixtral 8x22B v0.1 is available from 8 providers. The cheapest input pricing is $0.65/1M tokens from DeepInfra.
Who created Mixtral 8x22B v0.1?
Mixtral 8x22B v0.1 was created by MistralAI as part of the Mixtral model family.
Is Mixtral 8x22B v0.1 open source?
Mixtral 8x22B v0.1 is open source under Apache 2.0 according to the seed data.