Claude Haiku 3.5 vs GPT-4.1: 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-4.1
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 Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningYes
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
GPT-4.1
+847.6K 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-4.1
$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 GPT-4.1?
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-4.1?
Claude Haiku 3.5 has a context window of 200K tokens, while GPT-4.1 has 1.0M tokens. GPT-4.1 supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
How do Claude Haiku 3.5 and GPT-4.1 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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