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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Claude 3.5 Haiku is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude 3.5 Haiku vs Claude Haiku 5.5 Comparison Table
Evals updated October 26, 2026Pricing updated November 2, 2026
| Property | Claude 3.5 Haiku | Claude Haiku 5.5 |
|---|---|---|
| Organization | Anthropic | Anthropic |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Oct 2024 | Oct 2026 |
| Context Window | 200K | 1.0M |
| Parameters | Unknown | undisclosed |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $0.100 |
| Output $/1M | No published price | $0.500 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| Classification | Supported | Demo |
| Object Detection | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Deprecated | 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 |
| Object Detection (high) | – | 68.2% ±1.0, Mean of 3 runs, range 67.2 to 69.2 |
| Counting (low) | – | 68.9% ±4.7, Mean of 3 runs, range 64.9 to 74.3 |
| Counting (high) | – | 73.0% ±1.3, Mean of 3 runs, range 71.6 to 74.3 |
| Identification (low) | – | 83.3% ±3.1, Mean of 3 runs, range 81.3 to 87.5 |
| Identification (high) | – | 86.5% ±1.6, Mean of 3 runs, range 84.4 to 87.5 |
| OCR (low) | – | 61.2% |
| by category |
| |
| OCR (high) | – | 65.3% |
| by category |
| |
| Reasoning (low) | – | 68.9% ±2.0, Mean of 3 runs, range 66.9 to 70.9 |
| Reasoning (high) | – | 74.8% ±2.6, Mean of 3 runs, range 72.2 to 77.5 |
Claude 3.5 Haiku vs Claude Haiku 5.5: Overview
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 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.