Anthropic vs Hyperbolic: Token Pricing, Speed & Intelligence

Full comparison of Anthropic and Hyperbolic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Anthropic

Claude — safety-focused frontier AI with exceptional coding ability

Anthropic builds the Claude model family, known for long context windows (up to 200K tokens), strong coding performance, and a safety-first design philosophy. Claude 4 Opus and Sonnet lead on many coding and reasoning benchmarks. Prompt caching is available at significant discounts.

CodingReasoningLong-contextChatAgents

Proprietary models

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.

Cost-efficiencyResearchOpen-sourceExperimentationBudget workloads

Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

Anthropic

Top coding benchmark scores (Claude 4 Opus)

200K context window on all Claude models

Aggressive prompt caching — up to 90% discount

Strong instruction-following and safety alignment

Extended thinking / reasoning mode on Opus

No open-weight models — full vendor lock-in

Opus is the most expensive frontier model at $15/$75 per 1M tokens

No native image generation capability

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

OpenAI-compatible API

Good for research and experimentation

Less established reliability than larger providers

Throughput lower than Groq/Cerebras for speed-critical apps

No fine-tuning support

Key differentiators

Anthropic

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

Hyperbolic

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

Frequently asked questions

Anthropic FAQs

How much does the Anthropic Claude API cost?

Claude 4 Opus costs $15/1M input and $75/1M output tokens. Claude Sonnet 4.5 is $3/$15 per 1M tokens. Claude Haiku 3.5 is the budget option at $0.80/$4.00. Prompt caching reduces input costs by up to 90%.

What is the context window for Claude models?

All Claude models support a 200,000-token context window, making them ideal for processing long documents, codebases, or multi-turn conversations without truncation.

How does Anthropic prompt caching work?

Anthropic's prompt caching lets you mark portions of your prompt (system prompts, documents, tool definitions) to be cached server-side. Cached tokens are billed at 10% of the standard input price after the first write, making repeated long-context calls dramatically cheaper.

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.

Provider resources

Anthropic

Provider page Website Pricing Docs

Hyperbolic

Provider page Website Pricing Docs

Anthropic — Claude — safety-focused frontier AI with exceptional coding ability

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

Hyperbolic — Open-source inference marketplace — Llama, DeepSeek R1, and more

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

Key strengths compared

Anthropic

▸Top coding benchmark scores (Claude 4 Opus)
▸200K context window on all Claude models
▸Aggressive prompt caching — up to 90% discount

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

Provider category context

Anthropic is a frontier lab, founded in 2021. Hyperbolic is a inference api, founded in 2023. Anthropic as a frontier lab trains and serves its own proprietary models. Hyperbolic as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Anthropic if you need top coding benchmark scores (claude 4 opus). Choose Hyperbolic if you need among the lowest prices for open-weight model inference. 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.