GPT-5.5 vs Claude 4 Sonnet for Summarisation
Compare GPT-5.5 by OpenAI and Claude 4 Sonnet by Anthropic for summarisation tasks - pricing, context windows, and strengths, 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 Sonnet
A balanced-hybrid reasoning model tuned for everyday assistant and high-volume tasks.
View Claude 4 SonnetGPT-5.5 vs Claude 4 Sonnet at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | Claude 4 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| Status | Current | Superseded by Claude 4.5 Sonnet |
What matters for Summarisation
Evaluation criteria and how GPT-5.5 and Claude 4 Sonnet compare on what summarisation tasks actually require.
Accuracy and completeness of key information
Context window size for long document handling
Structured output formats (bullets, sections)
Reduction ratio without information loss
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Claude 4 Sonnet is 40% cheaper on input tokens ($3 vs $5 per million), which adds up quickly on high-volume summarisation workloads.
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Claude 4 Sonnet is 50% cheaper on output tokens ($15 vs $30 per million) - the bigger factor for summarisation tasks that generate long responses.
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Both models offer the same 1M tokens context window.
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Claude 4 Sonnet has been superseded by Claude 4.5 Sonnet - for new summarisation builds, consider the newer model first.
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 Sonnet
- Hybrid reasoning: supports both fast (“near-instant”) and extended thinking modes.
- Optimised for responsiveness, cost and high-volume production workloads.
- Strong coding performance relative to prior Sonnet versions (improved over Sonnet 3.7).
- Available even in free tiers (alongside paid plans).
- Better suited for general-purpose use and agents where speed + cost-efficiency matter.
Use GPT-5.5 or Claude 4 Sonnet - or both
Appaca is the AI workspace for operators. Build internal summarisation tools and AI co-workers powered by GPT-5.5 or Claude 4 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 for summarisation and it builds a working app powered by GPT-5.5 or Claude 4 Sonnet. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on Claude 4 Sonnet, and keep whichever performs better for your summarisation workflow - 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 for summarisation and it builds a working app powered by GPT-5.5 or Claude 4 Sonnet - connected to the tools you already use.
Keep comparing for Summarisation
More side-by-side model comparisons for summarisation tasks.
FAQs
Gemini 2.5 Pro and Claude 4 Opus are the top summarisation LLMs in 2026. Gemini 2.5 Pro handles the longest documents thanks to its 1M token context window, making it ideal for lengthy reports, legal documents, and multi-chapter texts. Claude 4 Opus produces the highest-quality summaries for complex documents where nuance and accuracy matter most.
Claude 4 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 summarisation workload reads and writes.
They are equal: both GPT-5.5 and Claude 4 Sonnet support a 1M tokens context window.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs for summarisation and the Appaca agent builds it as a working app powered by GPT-5.5, Claude 4 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 Summarisation tools with GPT-5.5 or Claude 4 Sonnet
Describe the summarisation 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.