Last refreshed 2026-05-05. Next refresh: weekly.
Why use Mistral 7B v0.1 on Cloudflare Workers AI?
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Compare Mistral 7B v0.1 across 16 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: @cf/mistralai/mistral-7b-instruct-v0.1@cf/mistralai/mistral-7b-instruct-v0.1Request example
@cf/mistralai/mistral-7b-instruct-v0.1.Gotchas
- Use provider model ID "@cf/mistralai/mistral-7b-instruct-v0.1", not the LLMReference slug "mistral-7b-v0.1".
Compare Mistral 7B v0.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GCP Vertex AI | $0.08 | $0.24 |
| OctoAI API (Deprecated) | — | — |
| DeepInfra | $0.05 | $0.15 |
| Mistral AI Studio | $0.25 | $0.25 |
| Baseten API | — | — |
Capabilities
No model capability flags are currently sourced.
About Mistral 7B v0.1
Mistral 7B v0.1 is an advanced open-source large language model built by Mistral AI, consisting of 7 billion parameters. It's designed to deliver high performance and efficiency, outperforming many similar-sized models in various benchmarks. The model employs a transformer architecture with innovative features like Sliding Window Attention, Grouped-Query Attention, and a Byte-fallback BPE tokenizer, enhancing speed, reducing computational costs, and improving robustness. Capable of generating human-like text, following instructions effectively, and excelling in areas such as reasoning and mathematics, Mistral 7B v0.1 does have limitations, such as a lack of built-in moderation and a potential for hallucinations.