Last verified 2025-09-22 (left) · 2025-09-22 (right)
Claude Haiku 3.5 vs GPT-4o (fine-tuned) — Pricing & Capability Comparison
Claude Haiku 3.5 charges $0.80 per million input tokens and $4.00 per million output tokens. GPT-4o (fine-tuned) comes in at $3.75 / $15.00. Context windows span 200K vs 128K tokens respectively.
TL;DR — Quick Comparison
- ✓Claude Haiku 3.5 is cheaper overall: $4.80 per 1M tokens (in+out) vs $18.75 for GPT-4o (fine-tuned) — saves $13.95 per 1M tokens
- ✓Input pricing: Claude Haiku 3.5 $0.80/1M vs GPT-4o (fine-tuned) $3.75/1M
- ✓Output pricing: Claude Haiku 3.5 $4.00/1M vs GPT-4o (fine-tuned) $15.00/1M
- ✓Context window: Claude Haiku 3.5 offers more (200K vs 128K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Claude Haiku 3.5
$0.80
GPT-4o (fine-tuned)
$3.75
Claude Haiku 3.5 leads here
Output price (per 1M)
Claude Haiku 3.5
$4.00
GPT-4o (fine-tuned)
$15.00
Claude Haiku 3.5 leads here
Context window
Claude Haiku 3.5
200,000 tokens
GPT-4o (fine-tuned)
128,000 tokens
Claude Haiku 3.5 leads here
Cached input
Claude Haiku 3.5
Not published
GPT-4o (fine-tuned)
$1.875
GPT-4o (fine-tuned) leads here
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | Claude Haiku 3.5 | GPT-4o (fine-tuned) | GPT-4o (fine-tuned) cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0240 | $0.0938 | $0.0844 |
Input-heavy workflow 80% input · 20% output | $0.0144 | $0.0600 | $0.0450 |
Generation heavy 30% input · 70% output | $0.0304 | $0.116 | $0.111 |
Cached system prompt 90% cached input · 10% fresh output | $0.0112 | $0.0487 | $0.0319 |
Frequently asked questions
Which is cheaper: Claude Haiku 3.5 or GPT-4o (fine-tuned)?
Claude Haiku 3.5 is cheaper for input tokens at $0.80 per 1M tokens compared to $3.75. For output, Claude Haiku 3.5 costs $4.00 per 1M tokens versus $15.00 for GPT-4o (fine-tuned).
What is the cost per 1M tokens for Claude Haiku 3.5?
Claude Haiku 3.5 pricing: $0.80 per 1M input tokens and $4.00 per 1M output tokens. Context window: 200,000 tokens.
What is the cost per 1M tokens for GPT-4o (fine-tuned)?
GPT-4o (fine-tuned) pricing: $3.75 per 1M input tokens and $15.00 per 1M output tokens. Context window: 128,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: Claude Haiku 3.5 costs $0.0008 input / $0.0040 output. GPT-4o (fine-tuned) costs $0.0037 input / $0.0150 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
Claude Haiku 3.5 offers 200,000 tokens (200K) versus 128K for GPT-4o (fine-tuned).
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: Claude Haiku 3.5 would cost approximately $16.00, while GPT-4o (fine-tuned) would cost $67.50. Claude Haiku 3.5 is more economical for this usage pattern.
Do these models support prompt caching?
Claude Haiku 3.5 does not publish cached pricing. GPT-4o (fine-tuned) supports caching at $1.875 per 1M tokens, saving up to 50%.
Which model is best for my use case?
Choose Claude Haiku 3.5 for cost-sensitive applications with high input volume. Choose Claude Haiku 3.5 if you need 200K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.