GPT-5 nano vs Claude Haiku 3.5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 nano
Pricing (per 1M tokens)
Input$0.0500
Output$0.4000
Cached Input$0.005000
Batch Input$0.0250
Batch Output$0.2000
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
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-5 nano
93.8% cheaper
Cheaper Output Price
GPT-5 nano
90.0% cheaper
Larger Context Window
GPT-5 nano
+200K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 nano
$0.4500
$0.0500/1M input + $0.4000/1M output
Claude Haiku 3.5
$4.80
$0.8000/1M input + $4.00/1M output
GPT-5 nano is 90.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or Claude Haiku 3.5?
For input tokens, GPT-5 nano is cheaper at $0.0500 per 1M tokens. For output tokens, GPT-5 nano is cheaper at $0.4000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5 nano vs Claude Haiku 3.5?
GPT-5 nano has a context window of 400K tokens, while Claude Haiku 3.5 has 200K tokens. GPT-5 nano supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
How do GPT-5 nano and Claude Haiku 3.5 compare for batch processing?
Both models support batch processing with discounted rates. GPT-5 nano offers a better batch rate at $0.0250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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