Claude 3 Haiku
claude-3-haikuClaude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal Built by Anthropic.
Prices updated
Input price
$0.25
per 1M tokens · Standard
Output price
$1.25
per 1M tokens · Standard
Input limit
200K
tokens
Output limit
4K
tokens
Input formats
Output formats
Claude 3 Haiku price history
2 price records since 9/25/2026
Claude 3 Haiku cost calculator
$11/month
Standard pricing
Overview
What is Claude 3 Haiku?
Claude 3 Haiku is a text & reasoning and vision model from Anthropic. Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal Its 200K context window and $0.25 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Claude 3 Haiku benchmarks & speed
How Claude 3 Haiku scores on standardized evaluations, and where it lands among every model we track.
5.6
Intelligence Index
Reasoning
GPQA Diamond
37.4%
Graduate-level scientific reasoning · top 95%
HLE
4.1%
Humanity's Last Exam · top 89%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Claude 3 Haiku pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.25
Per 1M tokens
Cached input · Standard
$0.03
Per 1M tokens
Capabilities
Claude 3 Haiku Tools
Tools available when using Claude 3 Haiku through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Not supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.25 per million tokens suits high-volume workloads.
- 200K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider