All Models/Claude Haiku 4.5
Anthropic👑 Flagship

Claude Haiku 4.5

Benchmark:69.5
Speed:Fast
Training Cutoff:2025-07

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$1.0000
📤
Output / 1M
$5.0000
⚡
Cache Price / 1M
$0.1000
📏
Context Window
200K
200,000 tokens
📝
Max Output
64K
64,000 tokens
🎯
Benchmark & Speed
69.5
Speed:Fast

Cost Calculator

Simulate estimated API usage cost based on your specific traffic and context size

Calculation Settings

Pricing Tier
▶ Detailed Settings
▶ Presets

Simulation Results

Input Cost$0.02
Output Cost$0.0150
Total$0.0350

Calculation Details

INPUT
10req × (2,000 / 1M) × $1 = $0.02
OUTPUT
10req × (300 / 1M) × $5 = $0.0150

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
DeepSeek👑
1M384K-$1.32$0.044$3.9690Standard$0.0252
OpenAI👑
400K128K2025-08$0.75$0.075$4.5087.5Fast$0.0216
xAI
2M--$2.00$0.20$6.0077.75Standard$0.0396
OpenAI
200K100K2024-06$1.10$0.275$4.4071.75Standard$0.0268
OpenAI
200K100K2023-10$1.10$0.55$4.4062.75Standard$0.0296

Provider

DeepSeek👑

Benchmark

90

Speed

Standard

Training Cutoff

-

Context Window

1M

Max Output

384K

Input / 1M

$1.32

Cache Price / 1M

$0.044

Output / 1M

$3.96

Total(試算)
In: $0.0129 / Out: $0.0119
$0.0252

Provider

OpenAI👑

Benchmark

87.5

Speed

Fast

Training Cutoff

2025-08

Context Window

400K

Max Output

128K

Input / 1M

$0.75

Cache Price / 1M

$0.075

Output / 1M

$4.50

Total(試算)
In: $0.0073 / Out: $0.0135
$0.0216

Provider

xAI

Benchmark

77.75

Speed

Standard

Training Cutoff

-

Context Window

2M

Max Output

-

Input / 1M

$2.00

Cache Price / 1M

$0.20

Output / 1M

$6.00

Total(試算)
In: $0.0195 / Out: $0.018
$0.0396

Provider

OpenAI

Benchmark

71.75

Speed

Standard

Training Cutoff

2024-06

Context Window

200K

Max Output

100K

Input / 1M

$1.10

Cache Price / 1M

$0.275

Output / 1M

$4.40

Total(試算)
In: $0.0107 / Out: $0.0132
$0.0268

Provider

OpenAI

Benchmark

62.75

Speed

Standard

Training Cutoff

2023-10

Context Window

200K

Max Output

100K

Input / 1M

$1.10

Cache Price / 1M

$0.55

Output / 1M

$4.40

Total(試算)
In: $0.0107 / Out: $0.0132
$0.0296
⚡ Main Feature

All AI Models Pricing & Cost Simulator

Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.

Open Comparison Tool

Claude Haiku 4.5 Frequently Asked Questions (FAQ)

Key insights into Claude Haiku 4.5 API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for Claude Haiku 4.5? How much does it cost per 1M tokens?+

Claude Haiku 4.5 (Anthropic) is priced at $1.0000 per 1 million input tokens and $5.0000 per 1 million output tokens. The output rate is approximately 5.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.

Q. What are the context window and maximum output limits of Claude Haiku 4.5?+

Claude Haiku 4.5 features a 200K context window and a maximum output limit of 64K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.

Q. Does Claude Haiku 4.5 support Prompt Caching, and how much cost can be saved?+

Yes, Claude Haiku 4.5 supports prompt caching. Cached reads cost $0.1000 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 4K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.

Q. What is the benchmark score (69.5) and performance profile of Claude Haiku 4.5?+

Claude Haiku 4.5 achieves an overall benchmark score of 69.5/100 with a "Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.

Q. Which alternative models are comparable to Claude Haiku 4.5?+

Key alternatives in similar price-to-performance tiers include DeepSeek-V4-Pro, GPT-5.4 mini, grok-4.20-beta-0309-non-reasoning. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.