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Model details

OpenAI GPT-5.5

GPT-5.5 marks the first complete architectural rebuild since GPT-4.5, carrying the internal codename "Spud." Unlike the incremental updates that characterized every model released between those versions, this release represents a ground-up reconstruction designed from the start for natively omnimodal operation—handling text, images, audio, and video through a single unified system rather than stitching separate modality models together. The model was co-designed with NVIDIA's GB200 and GB300 NVL72 rack-scale systems, a partnership that enabled it to achieve GPT-5.4-level per-token latency despite significantly expanded capabilities. Larger models typically sacrifice speed; GPT-5.5 defies that tradeoff through tight hardware-software co-optimization.

Beyond the model itself, GPT-5.5 and its companion system Codex rewrote OpenAI's own serving infrastructure before launch, analyzing weeks of production traffic to optimize performance end-to-end. The release also introduced GPT-5.5 Instant as the new default model for ChatGPT, bringing these improvements to everyday users while specifically reducing hallucination rates in sensitive domains including law, medicine, and finance—areas where accuracy matters most. The combination of architectural redesign, hardware co-design, and infrastructure-level improvements positions GPT-5.5 as a platform-level advancement rather than a simple capability bump, extending its practical fit beyond general chat into agentic workflows and high-stakes professional applications.

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Provider
DigitalOcean
Model key
openai-gpt-5.5
Release date
Apr 23, 2026
Last updated
Apr 30, 2026
Knowledge cutoff
2025-12-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.00
Output token cost
$30.00

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about OpenAI GPT-5.5

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CoverageBenchmark

Roboflow's evaluation of GPT-5.5, published May 13, 2026, highlights a shift to a 32x32 patch-based vision encoder that improves interpretation of high-resolution documents, complex charts, and structured layouts. On the Roboflow Vision Evals suite, GPT-5.5 placed fourth out of 63 models with 76.12% overall accuracy, c For computer-vision developers, Roboflow recommends GPT-5.5 for zero-shot dataset generation, document parsing, and unstructured visual reasoning, with integration available through Roboflow Playground and Workflows. The release date cited (April 23, 2026) aligns with the model's general-availability launch, and the ar

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