GPT-5.5 vs Claude 4.6 Sonnet

Compare GPT-5.5 and Claude 4.6 Sonnet. Build AI products powered by either model on Appaca.

Model Comparison

Feature	GPT-5.5	Claude 4.6 Sonnet
Provider	OpenAI	Anthropic
Model Type	text	text
Context Window	1,000,000 tokens	1,000,000 tokens
Input Cost	$5.00/ 1M tokens	$3.00/ 1M tokens
Output Cost	$30.00/ 1M tokens	$15.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5.5

OpenAI

1. Strongest Agentic Coding Model

State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.

2. Higher Intelligence at GPT-5.4 Latency

Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.

3. Powerful for Knowledge Work & Computer Use

Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.

4. Scientific Research Co-Scientist

Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.

Claude 4.6 Sonnet

Anthropic

1. Most capable Sonnet model yet

Anthropic describes Sonnet 4.6 as its most capable Sonnet model.
It is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.

2. Stronger coding and professional task performance at Sonnet pricing

Pricing remains at $3/M input and $15/M output, matching Sonnet 4.5.
Anthropic says early-access developers strongly preferred it to Sonnet 4.5, and often even to Opus 4.5 for practical work.

3. Long-context, agent-friendly reasoning

Supports up to a 1M token context window in beta.
Anthropic reports better consistency, fewer false claims of success, fewer hallucinations, and more reliable follow-through on multi-step tasks.

4. Modern API controls for adaptive work

Supports adaptive thinking and the effort parameter for balancing speed, cost, and depth.
Gains dynamic filtering for web search and web fetch, helping agent workflows keep only relevant information in context.