o1 vs Claude Opus 4.1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o1
Pricing (per 1M tokens)
Input$15.00
Output$60.00
Cached Input$7.50
Batch Input$7.50
Batch Output$30.00
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Anthropic
Claude Opus 4.1
Pricing (per 1M tokens)
Input$15.00
Output$75.00
Cached Input$1.50
Batch Input$7.50
Batch Output$37.50
Context & Output
Context Window200K tokens
Max Output32K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Claude Opus 4.1
0.0% cheaper
Cheaper Output Price
o1
20.0% cheaper
Larger Context Window
Claude Opus 4.1
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o1
$75.00
$15.00/1M input + $60.00/1M output
Claude Opus 4.1
$90.00
$15.00/1M input + $75.00/1M output
o1 is 16.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o1 or Claude Opus 4.1?
For input tokens, Claude Opus 4.1 is cheaper at $15.00 per 1M tokens. For output tokens, o1 is cheaper at $60.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o1 vs Claude Opus 4.1?
o1 has a context window of 200K tokens, while Claude Opus 4.1 has 200K tokens. o1 supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do o1 and Claude Opus 4.1 compare for batch processing?
Both models support batch processing with discounted rates. Claude Opus 4.1 offers a better batch rate at $7.50 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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