Compute Comparison
vs
All providers →

Anthropic vs Deep Infra: Token Pricing, Speed & Intelligence

Full comparison of Anthropic and Deep Infra — 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

Deep Infra

The cheapest inference API for open-weight models — Llama, Mistral, and more

Deep Infra is an inference-focused API provider specialising in open-weight models at extremely competitive prices. Consistently among the cheapest providers for Llama 3, Mistral, and DeepSeek models, making it the go-to choice for cost-sensitive production inference.

Cost-sensitive inferenceLlama 3 productionDeepSeek hostingHigh-volume batch processing
Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

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

Deep Infra

Consistently lowest prices for open-weight models
Wide model catalog including Llama, Mistral, DeepSeek
OpenAI-compatible API
Fast cold start times
No rate limits on most models
No proprietary models — open-weight only
Less enterprise support than larger providers
Smaller ecosystem than Together AI or Fireworks

Key differentiators

Anthropic

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

Deep Infra

The most price-competitive inference API for open-weight models — often 30–50% cheaper than comparable providers for the same Llama or Mistral model.

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.

Deep Infra FAQs

How cheap is Deep Infra compared to other providers?

Deep Infra is consistently among the cheapest providers for open-weight models. For example, Llama 3.1 8B is available at $0.02–0.05/1M tokens, and Llama 3.3 70B at around $0.10/1M tokens — often 30–50% below comparable providers.

What models does Deep Infra support?

Deep Infra hosts a wide range of open-weight models including the full Llama 3.x family, Mistral, Mixtral, DeepSeek V3 and R1, Qwen, and many others. The catalog is updated frequently as new models are released.

Is Deep Infra OpenAI-compatible?

Yes. Deep Infra provides an OpenAI-compatible API, so you can use the OpenAI SDK by pointing it at the Deep Infra endpoint. This makes migration straightforward.

Provider resources

AnthropicClaude — 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.

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

Deep InfraThe cheapest inference API for open-weight models — Llama, Mistral, and more

Deep Infra is an inference-focused API provider specialising in open-weight models at extremely competitive prices. Consistently among the cheapest providers for Llama 3, Mistral, and DeepSeek models, making it the go-to choice for cost-sensitive production inference.

The most price-competitive inference API for open-weight models — often 30–50% cheaper than comparable providers for the same Llama or Mistral model.

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

Deep Infra

  • Consistently lowest prices for open-weight models
  • Wide model catalog including Llama, Mistral, DeepSeek
  • OpenAI-compatible API

Provider category context

Anthropic is a frontier lab, founded in 2021. Deep Infra is a inference api, founded in 2023. Anthropic as a frontier lab trains and serves its own proprietary models. Deep Infra 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 Deep Infra if you need consistently lowest prices for open-weight models. 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.