Claude Haiku 3.5 vs GPT-5.4: 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-5.4
Pricing (per 1M tokens)
Input$2.50
Output$15.00
Cached Input$0.2500
Batch Input$1.25
Batch Output$7.50
Context & Output
Context Window1.1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Claude Haiku 3.5
68.0% cheaper
Cheaper Output Price
Claude Haiku 3.5
73.3% cheaper
Larger Context Window
GPT-5.4
+850K 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-5.4
$17.50
$2.50/1M input + $15.00/1M output
Claude Haiku 3.5 is 72.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Claude Haiku 3.5 or GPT-5.4?
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-5.4?
Claude Haiku 3.5 has a context window of 200K tokens, while GPT-5.4 has 1.1M tokens. GPT-5.4 supports a larger context window of 1.1M tokens, which is beneficial for processing longer documents.
How do Claude Haiku 3.5 and GPT-5.4 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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