o1 vs Claude Opus 4: 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
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
0.0% cheaper
Cheaper Output Price
o1
20.0% cheaper
Larger Context Window
Claude Opus 4
+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
$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?
For input tokens, Claude Opus 4 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?
o1 has a context window of 200K tokens, while Claude Opus 4 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 compare for batch processing?
Both models support batch processing with discounted rates. Claude Opus 4 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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