o3-mini vs Gemini 3 Pro
Compare pricing, context windows, and strengths for o3-mini by OpenAI and Gemini 3 Pro by Google - and see how to put either to work in Appaca.
o3-mini
A small, cost-efficient reasoning model offering high intelligence at the same pricing and latency targets as o1-mini, with strong support for structured outputs and developer tooling.
View o3-miniGemini 3 Pro
Google's most intelligent multimodal model designed for advanced reasoning, coding, and agentic tasks.
View Gemini 3 Proo3-mini vs Gemini 3 Pro at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | o3-mini | Gemini 3 Pro |
|---|---|---|
| Provider | OpenAI | |
| Model type | Text | Text |
| Context window | 200K tokens | 1M tokens |
| Input price | $1.1 / 1M tokens | $4 / 1M tokens |
| Output price | $4.4 / 1M tokens | $18 / 1M tokens |
| Status | Current | Superseded by Gemini 3.1 Pro |
How o3-mini and Gemini 3 Pro differ
What the numbers mean in practice when choosing between o3-mini and Gemini 3 Pro.
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o3-mini is 73% cheaper on input tokens ($1.1 vs $4 per million), which adds up quickly in document-heavy workloads.
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o3-mini is 76% cheaper on output tokens ($4.4 vs $18 per million) - the bigger factor for tools that generate long documents.
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Gemini 3 Pro's 1M tokens context window is roughly 5x larger than o3-mini's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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Gemini 3 Pro has been superseded by Gemini 3.1 Pro - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
o3-mini
1. High-intelligence small reasoning model
- Delivers strong reasoning performance in a compact footprint.
- Ideal for tasks that need intelligence but must stay cost-efficient.
2. Excellent for developer workflows
- Supports Structured Outputs, function calling, and Batch API.
- Reliable for backend automation, agents, and data-processing pipelines.
3. Strong text reasoning capabilities
- Handles multi-step logic, natural language analysis, SQL translation, entity extraction, and content generation.
- Works well for landing pages, policy summaries, and knowledge extraction (as shown in built-in examples).
4. 200K context window
- Allows large documents, multi-step analysis, and long-running conversations.
- Reduces the need for aggressive chunking or external retrieval systems.
5. High 100K-token output limit
- Enables long explanations, multi-section documents, or detailed reasoning sequences.
6. Pure text-focused model
- Input/output is text-only (no image or audio support).
- Optimized for language-heavy reasoning and logic tasks.
7. Broad API compatibility
- Works across Chat Completions, Responses, Realtime, Assistants, Embeddings, Image APIs (as tools), and more.
- Supports streaming, function calling, and structured outputs.
8. Cost-efficient for production at scale
- Same cost/performance profile as o1-mini but with higher intelligence.
Gemini 3 Pro
1. State-of-the-art reasoning
- Top performance across academic reasoning, scientific knowledge, math, and complex problem-solving.
- Excels at long-horizon, multi-step workflows and deep logical interpretation.
2. World-leading multimodal capabilities
- Natively understands text, images, videos, audio, and code.
- Ranked highest on benchmarks like MMMU-Pro, Video-MMMU, ScreenSpot-Pro.
3. Exceptional coding + agentic workflows
- Strong in competitive coding and real-world agentic tasks (SWE-Bench Verified, Terminal-Bench, LiveCodeBench).
- Improved tool calling, planning, and execution for autonomous or semi-autonomous agents.
4. Powerful for long-context tasks
- Effective at 128K-1M context windows with high retrieval accuracy.
- Ideal for document-heavy workflows, research, analysis, multi-file coding, and multi-document reasoning.
5. Strong information synthesis and interpretation
- Outperforms peers in chart reasoning, OCR, structured extraction, and screen understanding.
- Excellent at combining multimodal inputs into coherent, concise answers.
6. High reliability for enterprise tasks
- Benchmarks show superior factuality, grounding, and parametric knowledge.
- Strong multilingual accuracy and global commonsense performance.
7. Optimized for production agents
- Designed for complex multi-step planning, simultaneous task execution, and improved consistency.
- Works across coding, research, creative workflows, UI generation, and data-heavy applications.
Use o3-mini or Gemini 3 Pro - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by o3-mini or Gemini 3 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-mini or Gemini 3 Pro. No code, no API keys, no deployment.
Switch models without rebuilding
Start on o3-mini, test the same tool on Gemini 3 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-mini or Gemini 3 Pro - connected to the tools you already use.
Related comparisons
See how o3-mini and Gemini 3 Pro stack up against other models in the directory.
FAQs
o3-mini is generally cheaper: $1.1 input / $4.4 output per million tokens, versus $4 / $18 for Gemini 3 Pro. Actual cost depends on how many tokens your workload reads and writes.
Gemini 3 Pro has the larger context window at 1M tokens, compared to 200K tokens for o3-mini. 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 o3-mini, test the same tool on Gemini 3 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-mini, Gemini 3 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-mini or Gemini 3 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.