Quick answer: Claude Haiku 3.5 is Anthropic's fastest and most cost-efficient model in the Claude 3.x family, released October 22, 2024. It is designed for high-throughput, latency-sensitive production workloads — handling the same task types as Claude Sonnet and Opus but optimised for speed and cost at $0.80 input / $4.00 output per 1M tokens with a 200K-token context window.
Where Claude Haiku 3.5 leads
Where it lags
Best for: Real-time customer interactions, high-volume batch classification, lightweight coding assistance, and any Claude-compatible pipeline where latency and cost are the primary constraints.
Claude Haiku 3.5 is Anthropic's small, fast tier of the Claude 3.5 release cycle, positioned for applications that need Claude-quality instruction following and safety at the lowest possible cost and latency. Like all Claude models, it is trained with Anthropic's Constitutional AI approach, which produces reliable instruction following and consistent refusal of harmful requests.
The Haiku tier is designed for integration into user-facing products where response time matters: customer service bots, coding autocomplete, real-time document tagging, and API pipelines handling thousands of requests per minute. At $0.80/$4.00 per 1M tokens, it is one of the most affordable ways to access a multimodal, vision-capable language model from a major AI lab.
Claude Haiku 3.5 retains the 200K-token context window of the full Claude 3.5 family, which distinguishes it from lower-end alternatives: it can process long documents and multi-session histories without chunking, even at the cost-efficient tier. Prompt caching further reduces costs for repeated system prompts or large reference documents.
| Field | Value |
|---|---|
| Organization | Anthropic |
| Parameters | Undisclosed |
| Context window | 200,000 tokens |
| Max output | 8,192 tokens |
| Architecture | Transformer (Anthropic internal) |
| License | Proprietary (API only) |
| Release date | October 22, 2024 |
| Knowledge cutoff | July 2024 (estimated) |
| Modality | Text + Vision (multimodal) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| Anthropic API | $0.80 | $4.00 |
Prompt caching available: cache writes at 1.25× the input rate, cache reads at 90% discount. Pricing per Anthropic pricing page.
Claude Haiku 3.5 has a 200,000-token context window — roughly 150 pages of text in a single request. This is the same as Claude Sonnet 3.7, making Haiku 3.5 suitable for long-document tasks even at the cost-efficient tier.
| Benchmark | Score | Source | Date |
|---|---|---|---|
| SHADE-Arena | 0.0 overall success | Anthropic research post | 2025-06 |
Note: The SHADE-Arena score of 0.0 indicates Claude Haiku 3.5 did not engage in sabotage behaviour — this is expected and reflects well-aligned safety training, not limited capability.
| Model | Context | Speed tier | Price (in/out per 1M) |
|---|---|---|---|
| Claude Haiku 3.5 | 200K | Fastest (Claude 3.x) | $0.80 / $4 |
| Claude Sonnet 3.7 | 200K | Balanced | $3 / $15 |
| Gemini 2.5 Flash | 1M | Fast | $0.15 / $0.60 |
| o4-mini | 200K | Reasoning | $1.10 / $4.40 |
Claude Haiku 3.5's main competitor is Gemini 2.5 Flash, which is cheaper at $0.15/$0.60 and offers a 5× larger context window. Haiku 3.5's advantages: lower latency, Anthropic's constitutional AI safety profile, and seamless compatibility with Claude API integrations already in production.
Claude Haiku 3.5's SHADE-Arena score of 0.0 (the model does not engage in sabotage behaviour) is the expected result for a well-aligned model. It is not a measure of task capability.
For agent builders, Haiku 3.5 is the appropriate choice for the "fast lane" of a tiered agent architecture — handling routine classification, data extraction, and summarisation tasks while routing complex or ambiguous cases to Claude Sonnet or Opus. This approach maximises throughput while keeping overall pipeline cost low.
import anthropic
client = anthropic.Anthropic(api_key="YOUR_API_KEY")
response = client.messages.create(
model="claude-haiku-3-5-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Classify this customer support ticket as: billing, technical, or account..."}],
)
print(response.content[0].text)Specs and scores sourced from Anthropic's official Claude Haiku 3.5 announcement (October 22, 2024) and Benchgen evaluations; third-party benchmark scores attributed inline. Pricing cited to the Anthropic pricing page. Last updated 2026-07-23.
This model isn’t on any benchmark leaderboard yet.