Claude 4 Sonnet vs Claude 4 Opus for Data Analysis
Compare Claude 4 Sonnet by Anthropic and Claude 4 Opus by Anthropic for data analysis tasks - pricing, context windows, and strengths, and see how to put either to work in Appaca.
Claude 4 Sonnet
A balanced-hybrid reasoning model tuned for everyday assistant and high-volume tasks.
View Claude 4 SonnetClaude 4 Opus
The flagship model, focused on deep reasoning, large-scale coding and sustained multi-step agentic workflows.
View Claude 4 OpusClaude 4 Sonnet vs Claude 4 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Claude 4 Sonnet | Claude 4 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model type | Text | Text |
| Context window | 1M tokens | 200K tokens |
| Input price | $3 / 1M tokens | $15 / 1M tokens |
| Output price | $15 / 1M tokens | $75 / 1M tokens |
| Status | Superseded by Claude 4.5 Sonnet | Superseded by Claude 4.1 Opus |
What matters for Data Analysis
Evaluation criteria and how Claude 4 Sonnet and Claude 4 Opus compare on what data analysis tasks actually require.
Accuracy of quantitative reasoning and calculations
Quality of SQL and Python code generation
Ability to interpret charts and structured data
Clear, concise data-driven narrative generation
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Claude 4 Sonnet is 80% cheaper on input tokens ($3 vs $15 per million), which adds up quickly on high-volume data analysis workloads.
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Claude 4 Sonnet is 80% cheaper on output tokens ($15 vs $75 per million) - the bigger factor for data analysis tasks that generate long responses.
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Claude 4 Sonnet's 1M tokens context window is roughly 5x larger than Claude 4 Opus's 200K tokens, so it can handle bigger inputs in a single data analysis pass.
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Claude 4 Sonnet has been superseded by Claude 4.5 Sonnet - for new data analysis builds, consider the newer model first.
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Claude 4 Opus has been superseded by Claude 4.1 Opus - for new data analysis builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
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.
Claude 4 Opus
- Highest capability in the family: described as “our most powerful model yet” by Anthropic.
- Exceptional at long-running tasks requiring thousands of steps and sustained focus (e.g., continuous codebase work for hours).
- Excellent performance on benchmarks: e.g., SWE-bench 72.5 % and Terminal-bench 43.2 %.
- Designed for complex agentic workflows, deep reasoning, tool use, and large context windows.
- Placed under a higher safety classification (ASL-3) due to its frontier capability and risk profile.
Use Claude 4 Sonnet or Claude 4 Opus - or both
Appaca is the AI workspace for operators. Build internal data analysis tools and AI co-workers powered by Claude 4 Sonnet or Claude 4 Opus - 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 data analysis and it builds a working app powered by Claude 4 Sonnet or Claude 4 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Claude 4 Sonnet, test the same tool on Claude 4 Opus, and keep whichever performs better for your data analysis 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 data analysis and it builds a working app powered by Claude 4 Sonnet or Claude 4 Opus - connected to the tools you already use.
Keep comparing for Data Analysis
More side-by-side model comparisons for data analysis tasks.
FAQs
GPT-5.5 and Gemini 2.5 Pro are the top data analysis LLMs in 2026. GPT-5.5 leads on quantitative reasoning and complex multi-step calculation tasks. Gemini 2.5 Pro is particularly strong on interpreting structured data, large tables, and multi-modal inputs like charts and graphs. Claude 4 Opus is the best choice when generating analysis narratives and executive summaries alongside the data work.
Claude 4 Sonnet is generally cheaper: $3 input / $15 output per million tokens, versus $15 / $75 for Claude 4 Opus. Actual cost depends on how many tokens your data analysis workload reads and writes.
Claude 4 Sonnet has the larger context window at 1M tokens, compared to 200K tokens for Claude 4 Opus. For data analysis tasks, a larger window means the model can consider more context at once without losing track.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs for data analysis and the Appaca agent builds it as a working app powered by Claude 4 Sonnet, Claude 4 Opus, 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 Data Analysis tools with Claude 4 Sonnet or Claude 4 Opus
Describe the data analysis 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.