o3 vs o1-pro
Compare pricing, context windows, and strengths for o3 by OpenAI and o1-pro by OpenAI - and see how to put either to work in Appaca.
o3
A powerful reasoning model excelling at complex, multi-step tasks across math, science, coding, and visual reasoning; succeeded by GPT-5.
View o3o1-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-proo3 vs o1-pro at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | o3 | o1-pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Text |
| Context window | 200K tokens | 200K tokens |
| Input price | $2 / 1M tokens | $150 / 1M tokens |
| Output price | $8 / 1M tokens | $600 / 1M tokens |
| Status | Current | Current |
How o3 and o1-pro differ
What the numbers mean in practice when choosing between o3 and o1-pro.
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o3 is 99% cheaper on input tokens ($2 vs $150 per million), which adds up quickly in document-heavy workloads.
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o3 is 99% cheaper on output tokens ($8 vs $600 per million) - the bigger factor for tools that generate long documents.
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Both models offer the same 200K tokens context window.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
o3
1. Advanced reasoning capability
- Designed for multi-step thinking across text, code, and visual inputs.
- Excels at math, science, logic puzzles, and complex analytical workflows.
2. Strong performance across domains
- Highly capable in technical writing, data analysis, and structured problem-solving.
- Useful for research, engineering tasks, and intricate instruction-following.
3. Visual reasoning support
- Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.
4. High output capacity
- Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.
5. Excellent instruction following
- Produces detailed, step-by-step responses for tasks requiring precision and clarity.
- Ideal for educational explanations, system design reasoning, and code walkthroughs.
6. Large 200K context window
- Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.
7. Broad API support
- Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
- Supports streaming and function calling for advanced workflows.
8. Positioned as a legacy reasoning model
- Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.
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.
Use o3 or o1-pro - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by o3 or o1-pro - 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 o3 or o1-pro. No code, no API keys, no deployment.
Switch models without rebuilding
Start on o3, test the same tool on o1-pro, 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 o3 or o1-pro - connected to the tools you already use.
Related comparisons
See how o3 and o1-pro stack up against other models in the directory.
FAQs
o3 is generally cheaper: $2 input / $8 output per million tokens, versus $150 / $600 for o1-pro. Actual cost depends on how many tokens your workload reads and writes.
They are equal: both o3 and o1-pro support a 200K tokens context window.
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 o3, test the same tool on o1-pro, 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 o3, o1-pro, 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 o3 or o1-pro
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.