Claude Haiku 3.5
Anthropic Claude model entry for fast, efficient, and targeted API workloads.
Claude Haiku 3.5 is Anthropic’s fastest and most cost-efficient model in the Claude lineup, designed for workloads where low latency and high throughput matter more than maximum reasoning depth. With a 200,000-token context window and vision support, it handles routing, extraction, classification, and real-time agent subtasks without the cost overhead of larger Opus or Sonnet models.
For production deployments, Haiku 3.5 is well-suited as a sub-agent model within larger agent workflows — handling classification, content filtering, and structured data extraction while more capable models focus on complex planning and multi-step reasoning. It integrates through the Anthropic Messages API and the official Anthropic SDK, with MCP support for tool-based agent workflows.
Compared to other lightweight models like Gemini 2.5 Flash and GPT-5.5 Instant, Claude Haiku 3.5 offers strong instruction-following reliability at competitive latency. Teams should verify current pricing and rate limits against Anthropic’s official documentation before routing production traffic.
| Provider | Anthropic |
|---|---|
| Context Window | 200000 |
| Pricing | Verify current Anthropic pricing and platform availability before production use. |
| API Style | Anthropic Messages API |
| SDK | Anthropic SDK, Claude Agent SDK |
| MCP | Works with MCP-capable clients through Anthropic-compatible tool workflows. |
| Agent | Useful for fast Agent sub-tasks, routing, classification, extraction, and targeted generation. |
| RAG | Useful for RAG sub-tasks such as extraction, labeling, and concise cited answers when retrieval context is well scoped. |
| Source Freshness | recently_verified |
| Version Status | current |
| Version Boundary | Current ContextHub entry for Claude Haiku 3.5; use pinned Anthropic model IDs for production stability. |
Key Facts
- Anthropic model docs list Claude Haiku 3.5 as a fast model with a 200K context window.
- Anthropic provides model IDs and aliases for Claude model selection.
- The Anthropic TypeScript SDK supports server-side Claude API integration.
Best For
Not Ideal For
Capability Matrix
| Capability | Status |
|---|---|
| Speed | Strong |
| Vision | Supported |
| Multilingual | Supported |
| Tool Use | Supported |
SEO
| SEO Title | Claude Haiku 3.5 API, Pricing, SDK, MCP & Agent Compatibility |
|---|---|
| Description | Claude Haiku 3.5 by Anthropic: Anthropic Claude model entry for fast, efficient, and targeted API workloads. |
| Canonical | /model/claude-haiku-3-5 |
| Updated | 2026-05-19 |
Related Pages
- AI Model Directory
- Compatibility Matrix
- FAQ Index
- Best AI Models for Agent Workflows
- Best AI Models for Coding
- Best AI Models for Cost-Sensitive Generation
- Best AI Models for Low-Latency Generation
- Best AI Models for Open-Weight Deployment
- Best AI Models for OpenAI-Compatible Integration
- Claude Haiku 3.5 vs Gemini 2.5 Flash
- Claude Haiku 3.5 vs Gemini 3.5 Flash
Compare
| Comparison | Compared With |
|---|---|
| Claude Haiku 3.5 vs Gemini 2.5 Flash | Gemini 2.5 Flash |
| Claude Haiku 3.5 vs Gemini 3.5 Flash | Gemini 3.5 Flash |
Compatibility Facts
| Layer | Target | Status | Evidence | Updated |
|---|---|---|---|---|
| api | Anthropic Messages API | supported | Anthropic's model overview lists Claude Haiku 3.5 model identifiers, and the Anthropic TypeScript SDK documents server-side Claude API usage. | 2026-05-19 |
FAQ
| What is Claude Haiku 3.5? | Claude Haiku 3.5 is an Anthropic model for fast and efficient targeted workloads. It is relevant for low-latency generation, routing, classification, and Agent sub-tasks. |
|---|---|
| What is Claude Haiku 3.5 best for? | Claude Haiku 3.5 is best for low-latency generation, cost-sensitive generation, agent workflow, targeted classification. |
| How should Claude Haiku 3.5 be verified before production use? | Check current pricing, availability, limits, and API behavior against the listed official and GitHub sources. This entry was updated on 2026-05-19. |
| Which model factors matter most for low-latency generation? | Low-latency model selection should weigh response speed, throughput, price, SDK stability, quota limits, and whether the task needs deep reasoning or only targeted generation. |
Relationship Facts
| Source | Type | Target | Confidence |
|---|---|---|---|
| claude-haiku-3-5 | best_for | low-latency-generation | 0.84 |
| claude-haiku-3-5 | works_with | Anthropic Messages API | 0.9 |
Sources
| Name | Type | Citation | Last Verified |
|---|---|---|---|
| Anthropic models overview | docs | Official Anthropic model overview for Claude Haiku 3.5 model ID, context window, and capability positioning. | 2026-05-19 |
| Anthropic TypeScript SDK | github | GitHub SDK reference for Anthropic TypeScript and JavaScript API integration. | 2026-05-19 |
External Resources
- Anthropic models overview — Official Anthropic model overview for Claude Haiku 3.5 model ID, context window, and capability positioning.
- Anthropic TypeScript SDK — GitHub SDK reference for Anthropic TypeScript and JavaScript API integration.