Claude Haiku 4.5 vs GPT-5.5
GPT-5.5: 66.0% average across five Vision Evals tasks (#27 of 65 models). We have not run Claude Haiku 4.5 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Claude Haiku 4.5 vs GPT-5.5 Comparison Table
Evals updated October 26, 2026Pricing updated November 7, 2026
| Property | Claude Haiku 4.5 | GPT-5.5 |
|---|---|---|
| Organization | Anthropic | OpenAI |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Apr 2026 |
| Context Window | 200K | 1.0M |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $1.00 | $5.00 |
| Output $/1M | $5.00 | $30.00 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 66.0% |
| Avg cost / sample | – | $0.025 |
| Avg speed / sample | – | 10.10s |
| By task | ||
| Object Detection (low) | – | 43.6% ±2.2, Mean of 3 runs, range 41.7 to 46.1 |
| Object Detection (high) | – | 44.2% ±0.6, Mean of 3 runs, range 43.5 to 44.8 |
| Counting (low) | – | 68.0% ±3.4, Mean of 3 runs, range 64.9 to 71.6 |
| Counting (high) | – | 68.0% ±1.4, Mean of 3 runs, range 66.2 to 68.9 |
| Identification (low) | – | 89.6% ±1.6, Mean of 3 runs, range 87.5 to 90.6 |
| Identification (high) | – | 88.5% ±1.6, Mean of 3 runs, range 87.5 to 90.6 |
| OCR (low) | – | 58.4% |
| by category |
| |
| OCR (high) | – | 60.6% |
| by category |
| |
| Reasoning (low) | – | 70.6% ±1.0, Mean of 3 runs, range 69.5 to 71.5 |
| Reasoning (high) | – | 72.2% ±3.6, Mean of 3 runs, range 68.9 to 76.2 |
Claude Haiku 4.5 vs GPT-5.5: Overview
Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.
GPT-5.5 is a multimodal large language model released by OpenAI on April 23, 2026, engineered for autonomous, multi-step knowledge work and agentic workflows. It accepts text, images, and code as input, featuring enhanced spatial reasoning and visual grounding to support its computer use capabilities for operating software and navigating UI elements. Built to execute complex workflows end-to-end, the model interprets loosely defined tasks, selects appropriate tools, and performs self-verification with minimal user intervention. It is available in a standard version, a Thinking mode for extended reasoning budgets, and a Pro variant that uses parallel test-time compute for maximum precision on complex tasks.
Co-optimized with NVIDIA for GB200 NVL72 infrastructure, GPT-5.5 delivers per-token latency comparable to its predecessor GPT-5.4 while maintaining a 1-million-token context window. Despite increased capability, the model achieves greater token efficiency in coding and data analysis workflows, often completing tasks with fewer total tokens than previous versions. OpenAI reports a 60% reduction in hallucination rate compared to GPT-5.4, improving reliability for accuracy-sensitive applications. API access is available via the Responses and Chat Completions endpoints.