o3 vs Claude 3 Opus
Compare o3 and Claude 3 Opus. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | o3 | Claude 3 Opus |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $75.00/ 1M tokens |
Strengths & Best Use Cases
o3
OpenAI1. 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.
Claude 3 Opus
Anthropic1. Intelligence & Reasoning
- Highest capability in the Claude 3 family
- Near-human comprehension and fluency
- Excels at MMLU, GPQA, GSM8K, advanced reasoning tasks
2. Complex Problem Solving
- Best for research, strategy, multi-step planning
- Handles ambiguous, open-ended tasks with ease
3. Vision & Multimodal Capabilities
- Strong chart/graph understanding
- Processes documents, technical diagrams, and dense visual data
4. Recall & Long-Context Reasoning
- Near-perfect recall (>99% on NIAH benchmark)
- Handles very large documents and multi-file workflows
5. Enterprise-Grade Accuracy
- Significantly reduced hallucinations
- High correctness rate for factual queries
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