GPT-4o mini vs Claude Haiku 3.5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-4o mini
Pricing (per 1M tokens)
Input$0.1500
Output$0.6000
Cached Input$0.0750
Batch Input$0.0750
Batch Output$0.3000
Context & Output
Context Window128K tokens
Max Output16.4K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningYes
StreamingYes
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
Quick Verdict
Cheaper Input Price
GPT-4o mini
81.3% cheaper
Cheaper Output Price
GPT-4o mini
85.0% cheaper
Larger Context Window
Claude Haiku 3.5
+72K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4o mini
$0.7500
$0.1500/1M input + $0.6000/1M output
Claude Haiku 3.5
$4.80
$0.8000/1M input + $4.00/1M output
GPT-4o mini is 84.4% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4o mini or Claude Haiku 3.5?
For input tokens, GPT-4o mini is cheaper at $0.1500 per 1M tokens. For output tokens, GPT-4o mini is cheaper at $0.6000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4o mini vs Claude Haiku 3.5?
GPT-4o mini has a context window of 128K tokens, while Claude Haiku 3.5 has 200K tokens. Claude Haiku 3.5 supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do GPT-4o mini and Claude Haiku 3.5 compare for batch processing?
Both models support batch processing with discounted rates. GPT-4o mini offers a better batch rate at $0.0750 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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