Claude Haiku 4.5

Anthropic · Claude 4

Fast and efficient Claude tier for latency-sensitive assistant and automation workloads.

Part of Claude Haiku family
Type
multimodal
Context
200K tokens
Max Output
64K tokens
Status
current
Input
$0.8/1M tok
Output
$4/1M tok
API Access
Yes
License
proprietary
fast cost-efficient assistant automation enterprise
Released October 2025 · Updated March 6, 2026

Overview

Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on February 15, 2026.

Claude Haiku 4.5 is the speed-and-efficiency tier in the Claude family for high-throughput workloads. It is useful for teams optimizing latency and cost while retaining stronger quality than bare-minimum baseline models.

Capabilities

Haiku-class behavior is typically strongest in concise summarization, extraction, routing, and everyday assistant tasks. It is a good fit for customer-facing and internal operational flows that require quick response cycles.

Technical Details

Anthropic’s public model materials continue to frame Haiku as the throughput-oriented tier where response speed and predictable cost matter most. It is best used with explicit format constraints and robust post-validation for critical outputs.

Pricing & Access

Current Anthropic base pricing for Haiku-class models remains in the low-cost tier at 0.80per1Minputtokensand0.80 per 1M input tokens and 4 per 1M output tokens. Access depends on account tier and product surface, so verify exact quotas and aliases before rollout.

Best Use Cases

Best for support summarization, ticket routing, knowledge normalization, and lightweight coding or documentation workflows where cost and speed dominate.

Comparisons

Compared with Claude Sonnet 4.5, Haiku 4.5 usually offers better cost/latency with a lower ceiling on complex reasoning. Compared with GPT-5 nano, selection depends on ecosystem and output-style fit. Compared with Gemini 2.5 Flash-Lite, both target efficient production use with different platform tradeoffs.