Anthropic vs Google, head to head. Compare 13 Claude models against 27 Gemini models on quality scores, pricing, context windows, and capabilities. Updated hourly with live data.
| Capability | Anthropic (Claude) | Google (Gemini) |
|---|---|---|
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON Mode | Yes | Yes |
| Web Search | Yes | No |
| Image Output | No | Yes |
| Metric | Anthropic | |
|---|---|---|
| Input Price Range | $0.250 - $15.00 | $0.020 - $2.00 |
| Output Price Range | $1.25 - $75.00 | $0.040 - $12.00 |
| Free Models | 0 | 5 |
| Max Context Window | 1.0M | 1.0M |
| Max Output Tokens | 128k | 66k |
Anthropic and Google take fundamentally different approaches to AI. Anthropic, founded by former OpenAI researchers, focuses heavily on AI safety and alignment. Their Claude models are designed to be helpful, harmless, and honest, with a strong emphasis on following instructions precisely and avoiding harmful outputs. Claude models tend to be praised for nuanced reasoning, long-form writing quality, and strong coding capabilities.
Google brings the full weight of its infrastructure and research heritage. Gemini models benefit from Google's massive training compute, deep integration with Google services, and multimodal capabilities that span text, images, audio, and video. Google offers some of the largest context windows in the industry and competitive free-tier pricing through their API.
For developers choosing between the two: Claude tends to excel in tasks requiring careful instruction-following, coding, and extended reasoning. Gemini often shines in multimodal applications, large-context workloads, and cost-sensitive deployments with its generous free tiers and competitive pricing on smaller models. Both providers are rapidly iterating, so this comparison is updated hourly with the latest model data.