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Get started freeGPT-5 Mini vs Claude 4.5 Sonnet
Compare GPT-5 Mini and Claude 4.5 Sonnet. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Mini | Claude 4.5 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,000,000 tokens |
| Input Cost | $0.25/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $2.00/ 1M tokens | $15.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5 Mini
OpenAI1. 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 4.5 Sonnet
Anthropic1. Best-in-class coding performance
- #1 on SWE-bench Verified (77.2% standard, 82.0% high-compute).
- Excels at debugging, architecture, and multi-file code generation.
- Maintains coherence for extremely long tasks (30+ hours).
2. State-of-the-art computer use & agents
- Leads OSWorld at 61.4%.
- Strongest model for agentic workflows, multi-step tool use, and real computer control.
- Powering Claude Code, the new Claude Agent SDK, and Chrome agent actions.
3. Advanced reasoning & math
- Large improvements across reasoning-heavy benchmarks (AIME, MMMLU, τ2-bench, Terminal-Bench).
- Deep multi-step reasoning with extended or interleaved thinking.
4. High alignment & safety
- Most aligned Claude model to date with reduced deception, hallucinations, sycophancy, and harmful compliance.
- Strong protections against prompt injection for agentic tasks (ASL-3 safeguards).
5. Domain-expert performance
- Notable gains in finance, law, medicine, and STEM tasks.
- Trusted by early customers for long-context legal analysis, multi-file engineering, security research, and red-teaming.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5 Mini
textUncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Marketing Automation Workflow (Journey + Personalization)
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
LinkedIn Post Generator
Create professional LinkedIn posts that establish thought leadership, drive engagement, and grow your network.
Best for Claude 4.5 Sonnet
textAssessment Rubric Builder
Create detailed scoring rubrics for any assignment type with clear criteria and performance level descriptors.
Customer Complaint Response Generator
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Develop a Legal Strategy (Risks, Benefits, Alternatives)
Evaluate a proposed legal strategy with risks, benefits, alternatives, and a decision framework.
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