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Anthropic vs Celeris AI: Token Pricing, Speed & Intelligence

Full comparison of Anthropic and Celeris AI — 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

Celeris AI

High-throughput frontier reasoning with Celeris-1

Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.

Agentic workflowsCode generationMathematical reasoningLong-context document analysis
Proprietary models

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

Celeris AI

Strong reasoning and coding benchmarks
High throughput at frontier tier
Competitive prompt caching pricing
Newer provider with limited track record
Smaller ecosystem than OpenAI/Anthropic
Limited multimodal capability

Key differentiators

Anthropic

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

Celeris AI

Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.

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.

Celeris AI FAQs

What is Celeris AI?

Celeris AI is a frontier AI lab that develops high-throughput reasoning models. Their flagship Celeris-1 model targets the intersection of strong reasoning capability and fast inference.

How does Celeris-1 compare to o3 and Claude Opus?

Celeris-1 sits in the same intelligence score range as o3 and Claude Opus 5, with competitive throughput. It is priced similarly to Claude Opus 5 at $3/1M input and $15/1M output.

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.

Celeris AIHigh-throughput frontier reasoning with Celeris-1

Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.

Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.

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

Celeris AI

  • Strong reasoning and coding benchmarks
  • High throughput at frontier tier
  • Competitive prompt caching pricing

Provider category context

Anthropic is a frontier lab, founded in 2021. Celeris AI is a frontier lab, founded in 2025. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Anthropic and Celeris AI are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Anthropic leads on top coding benchmark scores (claude 4 opus), while Celeris AI leads on strong reasoning and coding benchmarks. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.