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HomeModelsClaude 3.5 Haiku
AnthropicBalanced

Claude 3.5 Haiku

The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.

74
Coding
68
Writing
62
Research
0
Images
62
Value
82
Long Context
Use this when

High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.

Skip this if

You need deep analytical reasoning, nuanced long-form writing, or are purely optimizing for lowest cost-per-token output.

Pricing
$0.80/1M in
$4.00/1M out
→0%since May 2026
Context
200k tokens
Speed
Very fast

Output cost of $4/1M is notably higher than competing fast/mini models. Input cost at ~$0.80/1M is competitive. Best value emerges in input-heavy pipelines like document classification or RAG retrieval where output tokens are minimal.

How to access
API
$0.7999999999999999/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
GPT-6 Astra
Cheaper option
Claude 3 Haiku
Faster option
Claude 3.5 Sonnet

Strengths

Fastest Claude model available, significantly quicker than Claude 3.5 Sonnet on time-to-first-token

200K context window is class-leading for a budget-tier model, beating GPT-4o mini's 128K

Strong instruction-following and structured output reliability for automated pipelines

Competitive coding assistance for boilerplate, refactoring, and explanation tasks

Weaknesses

Noticeably weaker than Claude 3.5 Sonnet on complex multi-step reasoning and nuanced writing

Output cost of $4/1M tokens is higher than comparable fast models like GPT-4o mini ($0.60/1M out) or Gemini 1.5 Flash

Not suitable for deep research synthesis or tasks requiring extended chain-of-thought

Real-world use cases

What people actually use Claude 3.5 Haiku for.

Building a customer support chatbot that needs fast, accurate responses with access to long conversation history

Batch-classifying thousands of documents or support tickets using the 200K context for few-shot examples

Agentic coding assistant for IDE plugins where low latency matters more than solving novel algorithmic problems

How Claude 3.5 Haiku compares

The nearest models people weigh against it, and what actually separates them.

vs Claude 3 Haiku — Against Claude 3 Haiku (Anthropic), Claude 3.5 Haiku costs about 69% more per token. Claude 3 Haiku is the one to check first if the price difference matters more than the ceiling.

vs Claude 3.5 Sonnet — Against Claude 3.5 Sonnet (Anthropic), Claude 3.5 Haiku runs about 87% cheaper per token and answers faster. Take Claude 3.5 Haiku unless you specifically need what Claude 3.5 Sonnet does better.

vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Claude 3.5 Haiku runs about 92% cheaper per token, gives up 5x on context and answers faster. Take Claude 3.5 Haiku unless you specifically need what Claude Fable 5 does better.

Price History

Claude 3.5 Haiku pricing over time

→0% since May 30

$0.864$0.832$0.800$0.768$0.736May 30Jun 17Jul 9Jul 26Aug 13Sep 7

90 data points · tracked daily since May 30, 2026

Ready to try it?

Start using Claude 3.5 Haiku

High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.. Start free — no card required.

Try Claude 3.5 Haiku freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

Compare alternatives

Similar models worth checking before you commit.

All Claude 3.5 Haiku alternatives →
AnthropicBudget

Claude 3 Haiku

Claude 3 Haiku is Anthropic's fastest and most affordable Claude 3 model, designed for high-throughput tasks where speed and cost efficiency matter more than peak intelligence. It delivers surprisingly capable responses for a budget tier model, with a generous 200K context window.

Verdict
A capable budget workhorse, but Claude 3.5 Haiku has made it mostly obsolete for new deployments.
Quality score
53%
Pricing
$0.25/1M in
$1.25/1M out
Speed
Very fast
5/5 speed
Context
200k tokens
Claude 3 Haiku is part of the original Claude 3 family (March 2024). Anthropic has since released Claude 3.5 Haiku, which is generally recommended over this model for new use cases. Still widely available via Anthropic API and AWS Bedrock.
BudgetFastHigh VolumeLong ContextProduction
Best for
High-volume production pipelines, customer support bots, and real-time text processing where cost and latency are critical constraints.
View model
AnthropicPremium

Claude 3.5 Sonnet

Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.

Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
200k tokens
Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
CodingLong ContextInstruction FollowingReasoningPremium
Best for
Complex coding tasks, multi-step reasoning, and long-document analysis where GPT-4o-class quality is needed without paying for the absolute top tier.
View model
AnthropicPremium

Claude Fable 5

Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.

Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

Anthropic: Claude 3.5 Haiku — added to UseRightAI

Anthropic: Claude 3.5 Haiku (Anthropic) is now indexed. The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.

View model

FAQ

How much does Claude 3.5 Haiku cost?

Claude 3.5 Haiku costs $0.7999999999999999 per million input tokens and $4 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $16.00 at list price, before any batch or caching discounts.

What is Claude 3.5 Haiku best for?

Claude 3.5 Haiku is best for high-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and very fast speed.

When should I avoid Claude 3.5 Haiku?

You need deep analytical reasoning, nuanced long-form writing, or are purely optimizing for lowest cost-per-token output.

What is a cheaper alternative to Claude 3.5 Haiku?

Claude 3 Haiku (Anthropic) at $0.25/1M/1M input against Claude 3.5 Haiku's $0.80/1M/1M — roughly 69% less per token all in. A capable budget workhorse, but Claude 3.5 Haiku has made it mostly obsolete for new deployments. Compare it first if Claude 3.5 Haiku's pricing is the thing stopping you.

What is a faster alternative to Claude 3.5 Haiku?

Claude 3.5 Sonnet — balanced against Claude 3.5 Haiku's very fast, with 200k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.

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