Hyperbolic vs Mistral: Token Pricing, Speed & Intelligence
Full comparison of Hyperbolic and Mistral — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Hyperbolic
Open-source inference marketplace — Llama, DeepSeek R1, and more
Hyperbolic provides a marketplace for open-source model inference, hosting Llama 3.3, DeepSeek R1, and other popular models at competitive prices. Their platform emphasises accessibility and affordability, making frontier open-weight models available to developers and researchers at low cost.
Mistral
European frontier AI — Mistral Large, Codestral, and open models
Mistral AI is a Paris-based lab that trains both proprietary and open-weight models. Mistral Large competes with GPT-4 class models at lower prices, while Codestral is purpose-built for code generation with a 262K context window. Several Mistral models are open-weight and available for self-hosting.
Key metrics
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Live token pricing
Strengths & weaknesses
Hyperbolic
Mistral
Key differentiators
One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.
The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.
Frequently asked questions
Hyperbolic FAQs
What models does Hyperbolic offer?
Hyperbolic hosts Llama 3.3 70B, DeepSeek R1, and other popular open-weight models. Their marketplace approach means the catalog evolves frequently.
How does Hyperbolic pricing compare to competitors?
Hyperbolic is among the most affordable options for open-weight model inference, often undercutting Together AI and Fireworks AI on price. This makes it attractive for high-volume or cost-sensitive workloads.
Is Hyperbolic reliable for production use?
Hyperbolic is newer and less established than providers like Together AI or Fireworks AI. It's well-suited for research, prototyping, and cost-sensitive workloads, but for mission-critical production use, a more established provider may be preferable.
Mistral FAQs
How much does the Mistral API cost?
Mistral Large costs $2.00/1M input and $6.00/1M output tokens. Mistral Small is $0.10/$0.30 per 1M tokens — one of the cheapest capable models available. Codestral for code generation is priced separately.
Are Mistral models open-weight?
Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face for self-hosting. Mistral Large and Codestral are proprietary and only available via the API.
What is Codestral?
Codestral is Mistral's code-specialised model with a 262K context window. It supports 80+ programming languages and is optimised for code completion, generation, and explanation tasks.
Provider resources
Hyperbolic — Open-source inference marketplace — Llama, DeepSeek R1, and more
Hyperbolic provides a marketplace for open-source model inference, hosting Llama 3.3, DeepSeek R1, and other popular models at competitive prices. Their platform emphasises accessibility and affordability, making frontier open-weight models available to developers and researchers at low cost.
One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.
Mistral — European frontier AI — Mistral Large, Codestral, and open models
Mistral AI is a Paris-based lab that trains both proprietary and open-weight models. Mistral Large competes with GPT-4 class models at lower prices, while Codestral is purpose-built for code generation with a 262K context window. Several Mistral models are open-weight and available for self-hosting.
The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.
Key strengths compared
Hyperbolic
- ▸Among the lowest prices for open-weight model inference
- ▸DeepSeek R1 and Llama 3.3 available at competitive rates
- ▸Marketplace model — broad model selection
Mistral
- ▸Several open-weight models available for self-hosting
- ▸Codestral purpose-built for code with 262K context
- ▸European data sovereignty — GDPR-native
Provider category context
Hyperbolic is a inference api, founded in 2023. Mistral is a frontier lab, founded in 2023. Hyperbolic as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Mistral as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Hyperbolic if you need among the lowest prices for open-weight model inference. Choose Mistral if you need several open-weight models available for self-hosting. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.