GPT-5.5 vs Claude 4 Sonnet for Research
Compare GPT-5.5 by OpenAI and Claude 4 Sonnet by Anthropic for research 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| Status | Current | Superseded by Claude 4.5 Sonnet |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 Research
Evaluation criteria and how GPT-5.5 and Claude 4 Sonnet compare on what research tasks actually require.
Depth and accuracy of scientific reasoning
Ability to synthesise multi-document context
Citation awareness and factual grounding
Structured output for reports and papers
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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 research workloads.
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Claude 4 Sonnet is 50% cheaper on output tokens ($15 vs $30 per million) - the bigger factor for research 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Claude 4 Sonnet has been superseded by Claude 4.5 Sonnet - for new research builds, consider the newer model first.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 research 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 research 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 research 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 research 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 Research
More side-by-side model comparisons for research tasks.
FAQs
GPT-5.5 and Claude 4 Opus are the top research LLMs in 2026. GPT-5.5 produces well-structured research memos, literature summaries, and synthesis documents. Claude 4 Opus is preferred for tasks requiring careful reasoning about nuanced or contradictory evidence - it is more likely to flag uncertainty than state incorrect conclusions confidently. Gemini 2.5 Pro handles the longest source documents thanks to its 1M token context.
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 research 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 research 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 Research tools with GPT-5.5 or Claude 4 Sonnet
Describe the research 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.