Last refreshed 2026-07-26. Next refresh: weekly.
Why use Claude 2.1 on Anthropic?
Anthropic offers Claude 2.1 with pay-as-you-go pricing at $8.00/1M input tokens. Anthropic is a safety-focused AI research company and creator of the Claude model family, offering API access through the Anthropic Console for text generation, analysis, and coding tasks.
Compare Claude 2.1 across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install anthropicexport ANTHROPIC_API_KEY=...import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
message = client.messages.create(
model="claude-2.1",claude-2.1Request example
import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
message = client.messages.create(
model="claude-2.1",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)
print(message.content[0].text)Gotchas
- Use the versioned model ID, e.g. "claude-sonnet-4-6" or "claude-opus-4-7-20251101".
- The examples expect ANTHROPIC_API_KEY; rename it only if your application config maps the new variable.
Compare Claude 2.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $8.00 | $24.00 |
| Anthropic | $8.00 | $24.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $8.00 |
| Output tokens | $24.00 |
Capabilities
About Claude 2.1
Claude 2.1, developed by Anthropic, is a cutting-edge large language AI model that significantly advances conversational AI. It features an impressive 200,000-token context window, allowing for the processing of extensive documents, surpassing the capabilities of many rivals. A notable improvement in Claude 2.1 is the reduction in hallucination rates, halving false statements compared to Claude 2.0, resulting in more accurate outputs. Additionally, it offers enhanced comprehension and summarization abilities, particularly for complex texts. The model includes a beta API integration feature, increasing its utility in various workflows. While its progress is notable, ongoing enhancements and user feedback remain vital.