Last refreshed 2026-05-01. Next refresh: weekly.
Why use Mixtral 8x7B on NVIDIA NIM?
NVIDIA NIM offers Mixtral 8x7B with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Mixtral 8x7B across 18 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: mixtral-8x7bmixtral-8x7bRequest example
mixtral-8x7b.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
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 | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 4xH100 |
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 is the context window for Mixtral 8x7B on NVIDIA NIM?
Mixtral 8x7B supports a 32,000 token context window on NVIDIA NIM.
How does NVIDIA NIM 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.