Gemini 4 Carbon now available on AI Gateway

Google's Gemini 4 Carbon is now available on Vercel's AI Gateway under the model name `google/gemini-4-carbon`, offered at 50% off through November 30, 2026. Google says the model, built for complex software engineering, sustained agentic work and cybersecurity defense, has a 1M-token context window and shows improvements in coding, full-stack web development and scientific reasoning, plus more reliable execution of multi-step plans and fewer unsupported claims. Vercel says developers can select the model in Claude Code, Codex and Cursor after installing the latest Vercel CLI and running setup, and that AI Gateway reflects provider pricing with no markup and no platform fee on inference, including Bring Your Own Key requests.

Gemini 4 Carbon from Google https://vercel.com/ai-gateway/models/gemini-4-carbon is now available on AI Gateway. It is available at 50% off through November 30, 2026: Gemini 4 Carbon is built for complex software engineering, sustained agentic work, and cybersecurity defense. It has a 1M-token context window for working with large codebases and long inputs. On engineering tasks, Carbon carries demanding work through multiple stages, with improvements in coding, full-stack web development, and scientific reasoning. Its cybersecurity capabilities span finding vulnerabilities, validating their risk, and developing patches. Google also reports https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/ more reliable execution of multi-step plans, fewer unsupported claims, and better collaboration when requirements are ambiguous, helping agents follow through while respecting project constraints. Use google/gemini-4-carbon as the model name: To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup: Then select google/gemini-4-carbon in the agent. See the coding agents guide https://vercel.com/docs/ai-gateway/coding-agents for details. Try Gemini 4 Carbon in the model playground https://vercel.com/ai-gateway/models/gemini-4-carbon . AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting https://vercel.com/changelog/custom-reporting-ai-gateway , Zero Data Retention support https://vercel.com/blog/zdr-on-ai-gateway , budgets for API keys https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys , routing rules https://vercel.com/docs/ai-gateway/models-and-providers/routing-rules , and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key https://vercel.com/docs/ai-gateway/authentication-and-byok/byok BYOK requests. You can view all language models https://vercel.com/ai-gateway/models?type=text available on AI Gateway.