o1-pro vs Claude 4.1 Opus
Compare pricing, context windows, and strengths for o1-pro by OpenAI and Claude 4.1 Opus by Anthropic - and see how to put either to work in Appaca.
o1-pro
A high-compute version of the o1 reasoning model, trained with reinforcement learning to think before answering and produce consistently stronger multi-step reasoning across math, science, coding, and analysis tasks.
View o1-proClaude 4.1 Opus
A refined flagship model with improved coding, reasoning, research depth, and agentic task performance over Opus 4.
View Claude 4.1 Opuso1-pro vs Claude 4.1 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | o1-pro | Claude 4.1 Opus |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 200K tokens | 1M tokens |
| Input price | $150 / 1M tokens | $15 / 1M tokens |
| Output price | $600 / 1M tokens | $75 / 1M tokens |
| Status | Current | Superseded by Claude 4.5 Opus |
How o1-pro and Claude 4.1 Opus differ
What the numbers mean in practice when choosing between o1-pro and Claude 4.1 Opus.
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Claude 4.1 Opus is 90% cheaper on input tokens ($15 vs $150 per million), which adds up quickly in document-heavy workloads.
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Claude 4.1 Opus is 88% cheaper on output tokens ($75 vs $600 per million) - the bigger factor for tools that generate long documents.
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Claude 4.1 Opus's 1M tokens context window is roughly 5x larger than o1-pro's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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Claude 4.1 Opus has been superseded by Claude 4.5 Opus - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
o1-pro
1. Maximum-compute o-series model
- Uses significantly more compute per query compared to o1.
- Produces deeper, more reliable reasoning chains.
- Best suited for high-stakes tasks that need correctness over speed.
2. Trained with reinforcement learning for deliberate thinking
- Explicit "think-before-answer" architecture.
- Excels at complex reasoning requiring multi-step analysis.
3. Very strong at math, science, coding, and technical proofs
- Handles long derivations, algorithm design, and difficult logic problems.
- Produces structured and explainable reasoning trails.
4. Great for multi-turn reasoning workflows
- Responses API optimized: can think over multiple internal turns before responding.
- Ideal for agentic reasoning pipelines.
5. Large context window
- 200,000-token context for large documents, multi-file review, and long reasoning traces.
6. Multimodal input (text + image)
- Can analyze images for mathematical diagrams, charts, handwritten content, UI layouts, etc.
- Output is text only.
7. Consistency, reliability, and depth
- Designed for situations where accuracy matters more than latency or cost.
- Strong error-checking and self-correction abilities.
Claude 4.1 Opus
1. Advanced Coding Performance
Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.
Stronger at:
- Multi-file code refactoring
- Large codebase debugging
- Pinpointing exact corrections without unnecessary edits
Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.
2. Improved Agentic & Research Capabilities
- Better at maintaining detail accuracy in long research tasks.
- Enhanced agentic search and step-by-step problem solving.
- Performs reliably across complex multi-turn reasoning tasks.
3. Validated by Real-World Users
- GitHub: Better multi-file refactoring and code adjustments.
- Rakuten Group: High precision debugging with minimal collateral changes.
- Windsurf: One standard deviation improvement on their junior dev benchmark - similar magnitude to Sonnet 3.7 → Sonnet 4.
4. Hybrid-Reasoning Benchmark Improvements
- Improvements across TAU-bench, GPQA Diamond, MMMLU, MMMU, AIME (with extended thinking).
- Stronger robustness in long-context reasoning tasks.
Use o1-pro or Claude 4.1 Opus - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by o1-pro or Claude 4.1 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 and it builds a working app powered by o1-pro or Claude 4.1 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on o1-pro, test the same tool on Claude 4.1 Opus, 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 o1-pro or Claude 4.1 Opus - connected to the tools you already use.
Related comparisons
See how o1-pro and Claude 4.1 Opus stack up against other models in the directory.
FAQs
Claude 4.1 Opus is generally cheaper: $15 input / $75 output per million tokens, versus $150 / $600 for o1-pro. Actual cost depends on how many tokens your workload reads and writes.
Claude 4.1 Opus has the larger context window at 1M tokens, compared to 200K tokens for o1-pro. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on o1-pro, test the same tool on Claude 4.1 Opus, and switch at any time without rebuilding anything.
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 o1-pro, Claude 4.1 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 AI tools with o1-pro or Claude 4.1 Opus
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.