Claude Haiku 3.5 vs o3: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Anthropic
Claude Haiku 3.5
Pricing (per 1M tokens)
Input$0.8000
Output$4.00
Cached Input$0.0800
Batch Input$0.4000
Batch Output$2.00
Context & Output
Context Window200K tokens
Max Output8.2K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
OpenAI
o3
Pricing (per 1M tokens)
Input$2.00
Output$8.00
Cached Input$0.5000
Batch Input$1.00
Batch Output$4.00
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Claude Haiku 3.5
60.0% cheaper
Cheaper Output Price
Claude Haiku 3.5
50.0% cheaper
Larger Context Window
o3
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Claude Haiku 3.5
$4.80
$0.8000/1M input + $4.00/1M output
o3
$10.00
$2.00/1M input + $8.00/1M output
Claude Haiku 3.5 is 52.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Claude Haiku 3.5 or o3?
For input tokens, Claude Haiku 3.5 is cheaper at $0.8000 per 1M tokens. For output tokens, Claude Haiku 3.5 is cheaper at $4.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Claude Haiku 3.5 vs o3?
Claude Haiku 3.5 has a context window of 200K tokens, while o3 has 200K tokens. Claude Haiku 3.5 supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do Claude Haiku 3.5 and o3 compare for batch processing?
Both models support batch processing with discounted rates. Claude Haiku 3.5 offers a better batch rate at $0.4000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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