Context
200K
Input
$8.00
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
200K
📥
Input Price
per 1M tokens
$8.00
📤
Output Price
per 1M tokens
$24.00
🧠
Parameters
Undisclosed
🔒
Open Source
No
Best For
Long documentsanalysisreduced hallucinations
About Claude 2.1
Claude 2.1 was Anthropic's major update introducing a 200K token context window, making it the first commercially available model capable of processing book-length documents. It featured a 50% reduction in hallucination rates compared to Claude 2.0 and introduced tool use capabilities. Claude 2.1 proved that responsible AI development and strong capabilities are not mutually exclusive.
Built byAnthropic↗
Pricing per 1M tokens
Input Tokens
$8.00
Output Tokens
$24.00
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Frequently Asked Questions
What is Claude 2.1?▾
Claude 2.1 was Anthropic's major update introducing a 200K token context window, making it the first commercially available model capable of processing book-length documents. It featured a 50% reduction in hallucination rates compared to Claude 2.0 and introduced tool use capabilities. Claude 2.1 proved that responsible AI development and strong capabilities are not mutually exclusive.
How much does Claude 2.1 cost?▾
Claude 2.1 costs $8.00 per 1 million input tokens and $24.00 per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Claude 2.1's context window?▾
Claude 2.1 has a context window of 200K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Claude 2.1 open source?▾
No, Claude 2.1 is a proprietary model available through Anthropic's API. Proprietary models are typically accessible via API endpoints and offer managed infrastructure, support, and regular updates from the provider.
What is Claude 2.1 best for?▾
Claude 2.1 is best suited for: Long documents, analysis, reduced hallucinations. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Anthropic's model lineup.