Claude Haiku 3.5 vs GPT-5.2: 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
GPT-5.2
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Batch Input$0.8750
Batch Output$7.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Claude Haiku 3.5
54.3% cheaper
Cheaper Output Price
Claude Haiku 3.5
71.4% cheaper
Larger Context Window
GPT-5.2
+200K 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
GPT-5.2
$15.75
$1.75/1M input + $14.00/1M output
Claude Haiku 3.5 is 69.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Claude Haiku 3.5 or GPT-5.2?
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 GPT-5.2?
Claude Haiku 3.5 has a context window of 200K tokens, while GPT-5.2 has 400K tokens. GPT-5.2 supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
How do Claude Haiku 3.5 and GPT-5.2 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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