Analysis Summary
Claude 3.5 Haiku is Anthropic's compact multimodal model, designed for responsive everyday workloads rather than difficult reasoning. It supports image input, tool use, function calling, and a 200K context window, giving it useful coverage for document processing, content transformation, classification, and structured automation.
For an agency, the combination of low input pricing and broad API capabilities makes it suitable for high-volume SEO drafts, metadata generation, customer support preparation, and workflow routing. Its measured coding and agentic capability is below the level needed for complex software engineering or autonomous multi-step work, and its writing benefits from clear prompts and review on high-stakes client copy.
Use Haiku as a cost-conscious production layer for routine multimodal tasks. Route demanding reasoning, advanced coding, and nuanced editorial work to a stronger model.
Assessed September 7, 2026
Editorial notes
Claude 3.5 Haiku combines multimodal input, reliable tool and function calling, a 200K context window, and low pricing for fast content and automation workloads, though its reasoning and coding depth are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Claude 3.5 Haiku combines multimodal input, reliable tool and function calling, a 200K context window, and low pricing for fast content and automation workloads, though its reasoning and coding depth are limited.
How Anthropic: Claude 3.5 Haiku compares
Anthropic: Claude 3.5 Haiku ranks #273 of 435 AI models we track for overall intelligence, #161 of 208 for coding, #155 of 190 for agentic tasks. Its 200K-token context window is larger than 55% of the models we list. At $0.80 per million input tokens it is cheaper than 31% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.80 | $0.000800 |
| Output | $4.00 | $0.004000 |
What would Anthropic: Claude 3.5 Haiku cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Anthropic: Claude 3.5 Haiku for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Anthropic: Claude 3.5 Haiku
Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic..
Explore Related Models
Frequently asked questions about Anthropic: Claude 3.5 Haiku
How much does Anthropic: Claude 3.5 Haiku cost?
Anthropic: Claude 3.5 Haiku costs $0.80 per million input tokens and $4.00 per million output tokens.
What is the context window of Anthropic: Claude 3.5 Haiku?
Anthropic: Claude 3.5 Haiku has a context window of 200,000 tokens (200K).
Is Anthropic: Claude 3.5 Haiku good for coding?
On our coding benchmark index, Anthropic: Claude 3.5 Haiku ranks #161 of 208 models, placing it in the broader range of the field for code generation and debugging.
What can Anthropic: Claude 3.5 Haiku do?
Anthropic: Claude 3.5 Haiku supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude 3.5 Haiku?
Anthropic: Claude 3.5 Haiku is developed by Anthropic and was released on November 4, 2024.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 7, 2026 8:38 pm