Claude Haiku 4.5 vs GPT-4o

Claude Haiku 4.5 is cheaper for every workload modelled here.

List prices checked

Specifications and rates

PropertyClaude Haiku 4.5GPT-4o
Input per 1M$1.00$2.50
Output per 1M$5.00$10.00
Cached input per 1M$0.100$1.25
Blended (3:1)$2.00$4.38
Context window200K128K
Max output64K16K
Inputs acceptedtext, imagetext, image, audio

Source: Anthropic pricing (August 2026) · OpenAI pricing (May 2026). Published list prices only — committed-use discounts, regional variation, and per-request charges are not included. Not yet independently re-checked against the vendor’s page.

Monthly cost by workload

Identical token volumes through both rate cards. Output-heavy profiles are where the ranking flips.

WorkloadClaude Haiku 4.5GPT-4oCheaper
In-app chat assistantA support or help assistant handling a few thousand conversations a month, with short prompts and short answers.$45$100Claude Haiku 4.5saves $55/mo (55%)
RAG over documentsRetrieval-augmented answering where each request stuffs several retrieved passages into the prompt, so input dominates.$375$900Claude Haiku 4.5saves $525/mo (58%)
Coding agentAn agentic loop that reads files and writes patches, generating heavy output and re-sending large context on every turn.$900$2,000Claude Haiku 4.5saves $1,100/mo (55%)

What each one is for

Claude Haiku 4.5

by Anthropic

The fast, cheap end of the Claude family, priced at a third of Sonnet while keeping the same context window. Suited to classification, extraction, and high-volume routing.

GPT-4o

by OpenAI

The natively multimodal model that set the mid-market price for over a year. Now more expensive than newer models that outperform it, but still the default in a great deal of shipped code.

Common questions

Is Claude Haiku 4.5 or GPT-4o cheaper in 2026?
Claude Haiku 4.5, for every workload modelled here. On a blended 3:1 basis it costs $2.00 per million tokens against GPT-4o's $4.38.
Which has the larger context window?
Claude Haiku 4.5, at 200K tokens against 128K. A larger window only helps if you can afford to fill it — the cost of one full-context request is in the table above.
Which is cheaper for output-heavy work like agents?
Claude Haiku 4.5, at $5.00 per million output tokens against $10.00. Reasoning tokens bill as output, so for agentic loops this axis usually decides the invoice regardless of what the input rates look like.
What is not included in these figures?
Batch-processing discounts, fine-tuning, long-context surcharges above a provider's standard tier, and any enterprise agreement. These are published pay-as-you-go list prices, checked against each provider's own pricing page on the date shown.
Is switching from GPT-4o to Claude Haiku 4.5 worth it?
On price alone it is about 54% cheaper on a blended basis. Whether that survives contact with your workload depends on output quality and on retry rate — a cheaper model that needs two attempts is not cheaper. Model the specific volumes in the calculator before you migrate.

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