Roboflow

Claude 3.5 Haiku vs Claude Haiku 5.5

Claude Haiku 5.5: 69.6% average across five Vision Evals tasks (#23 of 65 models). Claude 3.5 Haiku is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.

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AnthropicClaude 3.5 Haiku

Claude 3.5 Haiku is deprecated and can no longer be run. Details and evals are still available on its model page.

AnthropicClaude Haiku 5.5
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Claude 3.5 Haiku vs Claude Haiku 5.5 Comparison Table

Evals updated October 26, 2026Pricing updated November 2, 2026

PropertyClaude 3.5 HaikuClaude Haiku 5.5
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateOct 2024Oct 2026
Context Window200K1.0M
ParametersUnknownundisclosed
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1MNo published price$0.100
Output $/1MNo published price$0.500
Vision Tasks
CaptioningSupportedDemo
ClassificationSupportedDemo
Object DetectionSupportedDemo
OCRSupportedDemo
Visual Question AnsweringSupportedDemo
Both support 5 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
OverallDeprecated
69.6%
Avg cost / sample–$0.0006
Avg speed / sample–11.01s
By task
Object Detection (low)–
65.8%
±0.6, Mean of 3 runs, range 65.1 to 66.2
$0.0006
Object Detection (high)–
68.2%
±1.0, Mean of 3 runs, range 67.2 to 69.2
$0.0010
Counting (low)–
68.9%
±4.7, Mean of 3 runs, range 64.9 to 74.3
$0.0003
Counting (high)–
73.0%
±1.3, Mean of 3 runs, range 71.6 to 74.3
$0.0004
Identification (low)–
83.3%
±3.1, Mean of 3 runs, range 81.3 to 87.5
$0.0002
Identification (high)–
86.5%
±1.6, Mean of 3 runs, range 84.4 to 87.5
$0.0003
OCR (low)–
61.2%
$0.0006
by category
Single value
44.8%
Transcription
93.0%
Structured JSON
82.2%
Text localization
32.0%
OCR (high)–
65.3%
$0.0010
by category
Single value
46.5%
Transcription
94.7%
Structured JSON
85.3%
Text localization
45.8%
Reasoning (low)–
68.9%
±2.0, Mean of 3 runs, range 66.9 to 70.9
$0.0004
Reasoning (high)–
74.8%
±2.6, Mean of 3 runs, range 72.2 to 77.5
$0.0006

Claude 3.5 Haiku vs Claude Haiku 5.5: Overview

Claude 3.5 Haiku

Claude 3.5 Haiku, released by Anthropic in October 2024, is the fastest member of the Claude 3.5 family, optimized for low-latency, high-throughput applications. It is a multimodal model that handles both text and image inputs and supports a large ~200,000-token context window. Haiku is designed to balance efficiency with intelligence, outperforming even Claude 3 Opus on several reasoning benchmarks while maintaining its hallmark speed.

Typical applications include real-time chatbots, code completion, large-scale data extraction, and content moderation—scenarios where rapid response and scalability are essential.

Claude Haiku 5.5

Claude Haiku 5.5 is a proprietary multimodal language model from Anthropic and the smallest member of the Claude 5.5 family, released on October 7, 2026 after Claude Opus 5.5 and Claude Sonnet 5.5. It accepts text and image input and returns text, with a 1M token context window and up to 128K output tokens per request. It is the first Haiku-class model with an adjustable effort parameter: adaptive thinking is on by default and the model decides how much to reason, steered by effort levels from low to max with medium as the default. Its training data cutoff is June 2026. Pricing starts at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100K tokens, which Anthropic reports is about 90% lower than Claude Haiku 4.5 for requests in that range.

Anthropic positions Haiku 5.5 for high-volume, latency-sensitive work such as classification, extraction, routing, summarization, and subagent tasks, and describes it as its fastest model to date at standard speed. It uses the same tokenizer as Claude Opus 4.7 and later models, so the same text counts as roughly 30% more tokens than on Haiku 4.5.