o3-mini vs Claude 5 Sonnet
Compare pricing, context windows, and strengths for o3-mini by OpenAI and Claude 5 Sonnet by Anthropic - 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-miniClaude 5 Sonnet
Anthropic's most agentic Sonnet yet, closing much of the gap to Opus 4.8 on reasoning, coding, and tool use while staying at Sonnet's speed and price.
View Claude 5 Sonneto3-mini vs Claude 5 Sonnet at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | o3-mini | Claude 5 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 200K tokens | 1M tokens |
| Input price | $1.1 / 1M tokens | $3 / 1M tokens |
| Output price | $4.4 / 1M tokens | $15 / 1M tokens |
| Status | Current | Current |
How o3-mini and Claude 5 Sonnet differ
What the numbers mean in practice when choosing between o3-mini and Claude 5 Sonnet.
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o3-mini is 63% cheaper on input tokens ($1.1 vs $3 per million), which adds up quickly in document-heavy workloads.
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o3-mini is 71% cheaper on output tokens ($4.4 vs $15 per million) - the bigger factor for tools that generate long documents.
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Claude 5 Sonnet'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.
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.
Claude 5 Sonnet
1. Anthropic's most agentic Sonnet yet
- A substantial upgrade over Sonnet 4.6 on reasoning, tool use, coding, and knowledge work - narrows the gap to Opus 4.8 while staying at Sonnet pricing.
- Early partners describe it finishing multi-step jobs end to end where prior Sonnet models used to stall halfway.
2. Clear benchmark gains over Sonnet 4.6
- 63.2% on SWE-bench Pro (vs 58.1%), 80.4% on Terminal-Bench 2.1 (vs 67.0%), 81.2% on OSWorld-Verified (vs 78.5%), and 57.4% on Humanity's Last Exam with tools (vs 46.8%).
- On the GDPval-AA v2 knowledge-work benchmark it edges past Opus 4.8 (1,618 vs 1,615).
3. Near-Opus performance at a fraction of the price
- Priced at $3/M input and $15/M output - 40% cheaper than Opus 4.8's $5/$25 - with introductory pricing of $2/$10 through Aug 31, 2026 during the rollout.
- Supports
low,medium,high, andxhigheffort levels, covering a wider cost-performance range than Sonnet 4.6 and matching Opus 4.8 on some tasks at higher effort.
4. Long-context, long-horizon reliability
- Full 1M token context window with up to 128K output tokens.
- Adaptive thinking automatically decides how long to reason; better self-correction, fewer tool errors, and steadier follow-through across long agent sessions in Claude Code and Cowork.
5. Safer and more honest than its predecessor
- Lower rates of hallucination, sycophancy, and misaligned behavior than Sonnet 4.6 on Anthropic's automated safety audits.
- Deliberately limited cyber capability compared with Opus-class models, shipped with cyber safeguards enabled by default.
6. Updated tokenizer
- Uses a new tokenizer (shared with the Opus 4.7/4.8 line) that can map the same text to up to 1.35x more tokens than Sonnet 4.6 - introductory pricing is set so the switch is roughly cost-neutral.
Use o3-mini or Claude 5 Sonnet - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by o3-mini or Claude 5 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 and it builds a working app powered by o3-mini or Claude 5 Sonnet. No code, no API keys, no deployment.
Switch models without rebuilding
Start on o3-mini, test the same tool on Claude 5 Sonnet, 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 Claude 5 Sonnet - connected to the tools you already use.
Related comparisons
See how o3-mini and Claude 5 Sonnet stack up against other models in the directory.
FAQs
o3-mini is generally cheaper: $1.1 input / $4.4 output per million tokens, versus $3 / $15 for Claude 5 Sonnet. Actual cost depends on how many tokens your workload reads and writes.
Claude 5 Sonnet 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 Claude 5 Sonnet, 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, Claude 5 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 AI tools with o3-mini or Claude 5 Sonnet
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.