Last refreshed 2026-04-19. Next refresh: weekly.
Why use Mixtral 8x22B v0.1 on Mistral AI Studio?
Mistral AI Studio offers Mixtral 8x22B v0.1 with pay-as-you-go pricing at $2.00/1M input tokens. Mistral AI is a French company developing advanced language models and AI technologies.
Compare Mixtral 8x22B v0.1 across 8 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: open-mixtral-8x22bopen-mixtral-8x22bRequest example
open-mixtral-8x22b.Gotchas
- Use provider model ID "open-mixtral-8x22b", not the LLMReference slug "mixtral-8x22b-v0.1".
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 | $2.00 |
| Output tokens | $6.00 |
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 Mistral AI Studio?
On Mistral AI Studio, Mixtral 8x22B v0.1 costs $2 per 1M input tokens and $6 per 1M output tokens.
What is the context window for Mixtral 8x22B v0.1 on Mistral AI Studio?
Mixtral 8x22B v0.1 supports a 64,000 token context window on Mistral AI Studio.
How does Mistral AI Studio 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.
What API model ID do I use for Mixtral 8x22B v0.1 on Mistral AI Studio?
Use the model ID open-mixtral-8x22b when calling Mistral AI Studio's API.
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.