o4 mini vs Claude Opus 4.5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o4 mini
Pricing (per 1M tokens)
Input$1.10
Output$4.40
Cached Input$0.2750
Batch Input$0.5500
Batch Output$2.20
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
Anthropic
Claude Opus 4.5
Pricing (per 1M tokens)
Input$5.00
Output$25.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$12.50
Context & Output
Context Window200K tokens
Max Output64K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
o4 mini
78.0% cheaper
Cheaper Output Price
o4 mini
82.4% cheaper
Larger Context Window
Claude Opus 4.5
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o4 mini
$5.50
$1.10/1M input + $4.40/1M output
Claude Opus 4.5
$30.00
$5.00/1M input + $25.00/1M output
o4 mini is 81.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o4 mini or Claude Opus 4.5?
For input tokens, o4 mini is cheaper at $1.10 per 1M tokens. For output tokens, o4 mini is cheaper at $4.40 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o4 mini vs Claude Opus 4.5?
o4 mini has a context window of 200K tokens, while Claude Opus 4.5 has 200K tokens. o4 mini supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do o4 mini and Claude Opus 4.5 compare for batch processing?
Both models support batch processing with discounted rates. o4 mini offers a better batch rate at $0.5500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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