Claude 3.5 Haiku — Anthropic | Modeldex

Claude 3.5 Haiku

Active

Fast, low-cost model with stronger capabilities than Claude 3 Haiku.

Updated 5 days agoStructured data from Modeldex catalog

VisionAgenticLong context

Knowledge cutoff

Jul 31, 2024(1.7 years ago)

API release

Nov 4, 2024(1.5 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Claude 3.5 Haiku improves on Claude 3 Haiku with significantly better coding and instruction-following at competitive latency and cost.

History

Claude 3.5 Haiku became available via the Anthropic API on 2024-11-04.

Training & availability

Training data has a knowledge cutoff of 2024-07-31 — information about events after that date is unlikely to appear in the model's responses. Anthropic has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 200K tokens.
Max output: 8K tokens.
Input modalities: text, image.

Recommended for: vision, agentic, long-context.

Limitations

The knowledge cutoff is 20 months old — this model will not know about recent events, releases, or API changes.

Pricing

Input: $0.8000 per 1M tokens
Output: $4.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the anthropic API. Copy, paste, replace the key.

from anthropic import Anthropic

client = Anthropic(api_key="sk-ant-...")
resp = client.messages.create(
    model="claude-3-5-haiku",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.content[0].text)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.8/1M

Output tokens / month2.0M

@ $4/1M

Input cost

5.0M × $0.8/1M

Output cost

2.0M × $4/1M

Total / month

$12

$144 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $3.2/1M
Pricing breakdown: $0.8/1M in
$4/1M out

Community ratings

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