Claude Haiku 4.5 vs Claude 3.5 Haiku

Side-by-side comparison of Claude Haiku 4.5 (Anthropic) and Claude 3.5 Haiku (Anthropic). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec Claude Haiku 4.5 Claude 3.5 Haiku
Provider Anthropic Anthropic
Model id claude-haiku-4.5 claude-3.5-haiku
Input price (per 1M tokens) $1.00 $0.80
Output price (per 1M tokens) $5.00 $4.00
Context window 200,000 200,000
Output speed (tokens/sec) ~150 ~120

Cost on real prompts

Total cost = (input tokens × input price) + (output tokens × output price). Numbers below use the exact pricing tables published by each provider.

Scenario Input Output Claude Haiku 4.5 Claude 3.5 Haiku Cheaper
Short question + answer 50 150 $0.0008 $0.00064 Claude 3.5 Haiku
Code review on one file 500 1,500 $0.008000 $0.006400 Claude 3.5 Haiku
Long document summary 5,000 500 $0.007500 $0.006000 Claude 3.5 Haiku
Heavy reasoning task 2,000 8,000 $0.042000 $0.033600 Claude 3.5 Haiku
Full codebase analysis 50,000 10,000 $0.100000 $0.080000 Claude 3.5 Haiku

Want the exact cost for your prompt instead of these examples? Open the cost calculator pre-loaded with both models →

When to pick which

Heuristics derived from the spec table above. Always validate on your own prompts before committing — these are starting points, not verdicts.

Pick Claude Haiku 4.5 for

No clear advantage on the data points we measure. Compare on your actual prompts.

Pick Claude 3.5 Haiku for

  • output-heavy workloads — claude-3.5-haiku is meaningfully cheaper per output token

Switching between them

For most use cases, switching providers means updating the model id and the request shape if the providers differ. Within the same provider, it's usually a single-line change.

From Claude Haiku 4.5 to Claude 3.5 Haiku

# Before
model = "claude-haiku-4.5"

# After
model = "claude-3.5-haiku"

If the providers differ (Anthropic vs Anthropic), you'll also need to swap the SDK / endpoint URL. Cross-provider migrations usually take 30 minutes to a few hours depending on how many features (streaming, function calling, tool use) you depend on.

Calculate cost on your own prompt

The examples above use generic input/output ratios. For an exact comparison, paste your real prompt into the calculator — it counts tokens with the right tokenizer for each model and shows side-by-side cost.

Open the calculator with both models →