Last refreshed 2026-07-11. Next refresh: weekly.
Why use Mixtral 8x7B on OctoAI API (Deprecated)?
OctoAI API (Deprecated) offers Mixtral 8x7B with competitive pricing. OctoAI was a hosted inference platform for running third-party foundation models.
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
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) | — | — |
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.
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Model Specs
Other Providers(17)
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