Last refreshed 2026-06-01. Next refresh: weekly.
Why use Mixtral 8x7B Instruct v0.1 on IBM watsonx?
IBM watsonx offers Mixtral 8x7B Instruct v0.1 with pay-as-you-go pricing at $0.18/1M input tokens. IBM offers a comprehensive AI platform that includes IBM watsonx, a next-generation enterprise AI and data platform.
Compare Mixtral 8x7B Instruct v0.1 across 5 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: mixtral-8x7b-instruct-v0.1mixtral-8x7b-instruct-v0.1Request example
mixtral-8x7b-instruct-v0.1.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Mixtral 8x7B Instruct v0.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.40 | $0.40 |
| OctoML (Deprecated) | $0.40 | $0.60 |
| AWS Bedrock | $0.45 | $0.45 |
| IBM watsonx | $0.18 | $0.18 |
| DeepInfra | $0.15 | $0.45 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.18 |
| Output tokens | $0.18 |
Capabilities
No model capability flags are currently sourced.
About Mixtral 8x7B Instruct v0.1
Mixtral 8x7B Instruct v0.1 is MistralAI's Mixtral model. It offers a 32K-token context window with weights openly available for self-hosting.
FAQ
What does Mixtral 8x7B Instruct v0.1 cost on IBM watsonx?
On IBM watsonx, Mixtral 8x7B Instruct v0.1 costs $0.185 per 1M input tokens and $0.185 per 1M output tokens.
What is the context window for Mixtral 8x7B Instruct v0.1 on IBM watsonx?
Mixtral 8x7B Instruct v0.1 supports a 33k token context window on IBM watsonx.
How does IBM watsonx compare to other Mixtral 8x7B Instruct v0.1 providers?
Mixtral 8x7B Instruct v0.1 is available from 5 providers. The cheapest input pricing is $0.15/1M tokens from DeepInfra.
Who created Mixtral 8x7B Instruct v0.1?
Mixtral 8x7B Instruct v0.1 was created by MistralAI as part of the Mixtral model family.
Is Mixtral 8x7B Instruct v0.1 open source?
Mixtral 8x7B Instruct v0.1 is open source under Apache 2.0 according to the seed data.