Gemini 4 Carbon via the Tokenator API
What the model is for
Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode of up to 1M output tokens through continuation, and controls thinking depth with low, medium and high reasoning effort.
Specification
| Full name | Gemini 4 Carbon |
| API ID | gemini-4-carbon |
| Model vendor | Gemini |
| Type | Text model (chat / completions) |
| Context window | 1.05M tokens |
| Max output | 32.8K tokens |
| Image input | yes |
| Tokenator usage multiplier | 2× |
| Output token multiplier | 3× |
| Badge | NEW |
| Input modalities | text, image, audio, video, file |
| Aliases | cursor-gemini-4-carbon |
| Supported API formats | /v1/chat/completions /v1/responses /v1/messages |
| Upstream providers | 1 |
| Current status | available |
| Data updated | 2026-11-13 |
Benchmarks
| Intelligence index | 60 |
| Vals Finance Index (Vals AI) | 67% |
| Vals Index (Vals AI) | 70.5% |
| Vals Legal Index (Vals AI) | 75.9% |
| Vals RSI Index (Vals AI) | 27.7% |
| Terminal-Bench 4.0 (Vals AI) | 63.1% |
| Vibe Code Bench v1.1 (Vals AI) | 89.1% |
| EMB v1.1 (Vals AI) | 76.5% |
| Finance Agent v2.1 (Vals AI) | 67.2% |
| Tax Agent Bench (Vals AI) | 51.8% |
| HLAB-Vals-1.1 (Vals AI) | 17.5% |
| Legal Research Bench (Vals AI) | 55.8% |
Artificial Analysis and Vals AI data loaded into the catalog for this model.
Upstream providers
| Provider | Multiplier | Output token multiplier |
|---|---|---|
| AiPartners Ltd | 2× | 3× |
A request goes to the first available provider by priority; if it fails, Tokenator switches to the next one.
Example request
curl https://api.tokenator.top/v1/chat/completions \ -H "Authorization: Bearer sk-your-tokenator-key" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-4-carbon", "messages": [{"role": "user", "content": "Hello"}] }'
Compatible tools
The model can be used in any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code, Cherry Studio, DeepSeek Harness, Hermes, Pi, OpenClaw.
See also
FAQ about Gemini 4 Carbon
What is the API ID of Gemini 4 Carbon?
gemini-4-carbon — put this into the model field of your request.
What context window does Gemini 4 Carbon have?
1.05M tokens; max output is 32.8K tokens.
How many tokens will a request cost?
(input × 2×) + (output × 3×). See the documentation for details.
Which tools support this model?
Any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code. Setup guides are in the integrations section.