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LLM Comparisono4-miniClaude 3 Opus

o4-mini vs Claude 3 Opus

Compare o4-mini and Claude 3 Opus. Build AI products powered by either model on Appaca.

Model Comparison

Featureo4-miniClaude 3 Opus
ProviderOpenAIAnthropic
Model Typetexttext
Context Window200,000 tokens200,000 tokens
Input Cost
$1.10/ 1M tokens
$15.00/ 1M tokens
Output Cost
$4.40/ 1M tokens
$75.00/ 1M tokens

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Strengths & Best Use Cases

o4-mini

OpenAI

1. Fast and efficient reasoning

  • Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
  • Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.

2. Optimized for coding tasks

  • Performs exceptionally well in code generation, debugging, and explanation.
  • Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.

3. Strong visual reasoning

  • Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
  • Great for hybrid text-image reasoning flows.

4. Large 200K-token context window

  • Capable of processing long documents, multi-file codebases, or extended analysis.
  • Reduces need for chunking or external retrieval pipelines.

5. High 100K-token output limit

  • Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.

6. Broad API compatibility

  • Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
  • Supports streaming, function calling, structured outputs, and fine-tuning.

7. Cost-efficient for production

  • Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.

8. Succeeded by GPT-5 mini

  • GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.

Claude 3 Opus

Anthropic

1. 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