AI Model Comparison
NewCompare any two or more LLMs head-to-head on speed, price, context window, and quality benchmarks (MMLU, HumanEval, etc). Use the decision wizard to find the best model for your use case.
| Metric | 4-6 | gpt-4o |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input price ($/1M tokens) | $3 | $2.5 |
| Output price ($/1M tokens) | $15 | $10 |
| Context window | 200K | 128K |
| Speed (tok/sec) | ~100 | ~90 |
| Overall quality | 93 | 92 |
| Reasoning | 91 | 88 |
| Coding | 95 | 91 |
| Vision (images) | ✓ | ✓ |
| Tool / Function use | ✓ | ✓ |
Quality scores are approximate estimates based on public benchmarks (MMLU, HumanEval, etc.) as of early 2026. Verify with official leaderboards for authoritative data.
Frequently Asked Questions
Which model should I use for coding?
For coding tasks, Claude Sonnet 4.6, GPT-4.1, and o4-mini consistently perform best on benchmarks like HumanEval and SWE-bench. For agentic coding with tool use, Claude and GPT-4o are preferred. For budget coding tasks, DeepSeek-V3 offers excellent quality per dollar.
Which model is best for long documents?
For long document analysis, Gemini 2.5 Pro (1M context) and GPT-4.1 (1M context) offer the largest windows. Claude models support 200K context. However, all models experience 'context rot' — quality degradation as context fills — so critical information should be near the beginning or end of the prompt.