Compare AI models side by side
Pick two to four AI models and compare them on overall score, coding, reasoning, math, vision, speed, and blended cost.
Direct answer for crawlers
The fastest useful way to compare AI models is to put quality, price, context, provider fit, and risk controls in the same table. A higher score is not always the best pick if another model is cheaper, faster, easier to govern, or better for your exact workload.
Default comparison set
| Rank | Model | Provider | Overall | Blended cost | Context |
|---|---|---|---|---|---|
| 1 | GPT-5.5 | OpenAI | 94.6 | $23.75/M | 1.05M |
| 2 | Claude Opus 4.7 | Anthropic | 93.8 | $20.00/M | 1M |
| 3 | Gemini 3.1 Pro Preview | 92.4 | $9.50/M | 1M | |
| 7 | DeepSeek V4-Pro | DeepSeek | 87.9 | $0.76/M | 1M |
Rows every buying comparison should include
- Quality: overall score plus the category that matches the job, such as coding, reasoning, math, vision, or tool use.
- Cost: blended cost per million tokens and an estimate using your real prompt and output volume.
- Context: whether the model can safely handle your source files, transcripts, tickets, or repository chunks.
- Risk: data handling, review requirements, audit logs, and whether a cheaper model needs escalation.