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LLM ComparisonGPT-5 MiniClaude 3 Opus

GPT-5 Mini vs Claude 3 Opus

Compare GPT-5 Mini and Claude 3 Opus. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5 MiniClaude 3 Opus
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens200,000 tokens
Input Cost
$0.25/ 1M tokens
$15.00/ 1M tokens
Output Cost
$2.00/ 1M tokens
$75.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5 Mini

OpenAI

1. High reasoning performance

  • Retains strong reasoning capabilities despite being a smaller, faster model.
  • Suitable for tasks requiring accurate logic and structured thinking.

2. Fast and cost-efficient

  • Optimized for speed, making it ideal for real-time or high-volume workloads.
  • Far cheaper than GPT-5 while maintaining solid capability.

3. Great for well-defined tasks

  • Excels when prompts are precise and objectives are clearly specified.
  • More predictable and stable for deterministic workflows.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text only.

5. Tool support

  • Works with Web Search, File Search, Code Interpreter, MCP.
  • (Does not support Image Generation as a tool and does not support Computer Use.)

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

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