GPT-5.5 vs Claude 4.6 Sonnet
Compare pricing, context windows, and strengths for GPT-5.5 by OpenAI and Claude 4.6 Sonnet by Anthropic - and see how to put either to work in Appaca.
GPT-5.5
OpenAI's smartest and most capable model yet for agentic coding, knowledge work, and computer use, delivering a new class of intelligence at GPT-5.4 latency.
View GPT-5.5Claude 4.6 Sonnet
Anthropic's most capable Sonnet model, delivering a full upgrade across coding, computer use, long-context reasoning, agent planning, and professional knowledge work.
View Claude 4.6 SonnetGPT-5.5 vs Claude 4.6 Sonnet at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | Claude 4.6 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 1M tokens | 1M tokens |
| Input price | $5 / 1M tokens | $3 / 1M tokens |
| Output price | $30 / 1M tokens | $15 / 1M tokens |
| Status | Current | Current |
How GPT-5.5 and Claude 4.6 Sonnet differ
What the numbers mean in practice when choosing between GPT-5.5 and Claude 4.6 Sonnet.
Our take
This is a flagship-versus-workhorse matchup. GPT-5.5 is the stronger frontier model, while Claude 4.6 Sonnet delivers most of Anthropic's quality at a much lower price ($3 input / $15 output versus $5 / $30). Teams that don't need bleeding-edge coding performance often find Sonnet the better cost-performance pick for everyday internal tools.
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Claude 4.6 Sonnet halves the output cost of GPT-5.5, which matters for tools that generate long documents.
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Both offer ~1M-token context windows for long-document and codebase-scale work.
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GPT-5.5 leads clearly on agentic coding and computer-use benchmarks if that's your core workload.
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Claude 4.6 Sonnet is 40% cheaper on input tokens ($3 vs $5 per million), which adds up quickly in document-heavy workloads.
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Claude 4.6 Sonnet is 50% cheaper on output tokens ($15 vs $30 per million) - the bigger factor for tools that generate long documents.
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Both models offer the same 1M tokens context window.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.5
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
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
effortparameter for balancing speed, cost, and depth. - Gains dynamic filtering for web search and web fetch, helping agent workflows keep only relevant information in context.
Use GPT-5.5 or Claude 4.6 Sonnet - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.5 or Claude 4.6 Sonnet - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5.5 or Claude 4.6 Sonnet. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on Claude 4.6 Sonnet, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5.5 or Claude 4.6 Sonnet - connected to the tools you already use.
Related comparisons
See how GPT-5.5 and Claude 4.6 Sonnet stack up against other models in the directory.
FAQs
Claude 4.6 Sonnet is generally cheaper: $3 input / $15 output per million tokens, versus $5 / $30 for GPT-5.5. Actual cost depends on how many tokens your workload reads and writes.
They are equal: both GPT-5.5 and Claude 4.6 Sonnet support a 1M tokens context window.
This is a flagship-versus-workhorse matchup. GPT-5.5 is the stronger frontier model, while Claude 4.6 Sonnet delivers most of Anthropic's quality at a much lower price ($3 input / $15 output versus $5 / $30). Teams that don't need bleeding-edge coding performance often find Sonnet the better cost-performance pick for everyday internal tools.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5.5, Claude 4.6 Sonnet, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT-5.5 or Claude 4.6 Sonnet
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.