# Gemini 4 Carbon (slim)

> Gemini 4 Carbon is Google's strongest Gemini model, for long agentic coding, cybersecurity and research work, on the paid tier of the Gemini API with a 1,048,576-token limit shared between input and output.

- Full: https://www.anchorterminal.com/tools/gemini-4-carbon.md (~10,300 tokens) · this version ~1,530 tokens · JSON https://www.anchorterminal.com/tools/gemini-4-carbon.json · canonical https://www.anchorterminal.com/tools/gemini-4-carbon
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10 · pricing https://www.anchorterminal.com/tools/gemini-4-carbon#pricing · reviews https://www.anchorterminal.com/tools/gemini-4-carbon#reviews
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

**B · 62.6/100 · rank #555 of 1518 · #22 in Model APIs & inference · not agent-ready · confidence medium** · same model listed separately: Gemini Developer API, Model API (https://www.anchorterminal.com/tools/gemini-api.min.md)


Assessment: Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.

## Facts

- Kind: Model API · vendor: Google · category: Model APIs & inference · legal entity: Google LLC · provenance 89/100
- Endpoint: `https://generativelanguage.googleapis.com/v1beta` ()
- Auth: API key · pricing: Pay per use · x402: no · licence: Closed model, used through the Gemini API and Google's apps under Google's terms
- Benchmark probes: not run yet, so Performance is pending
- Live, from our pollers (not part of the score): up at 2026-11-10 18:59 UTC · uptime 30 days 100.0% (14 probes) · p50 44 ms · p95 91 ms over 24 hours
- Vendor status page: not read, no machine-readable status found (2026-11-10 18:20 UTC)
- Surface graded: The model as the Gemini API serves it, read from Google's developer post and Antigravity post of 10 November, the Cloud developer guide and the 28 October announcement. Platform readings (status page, rate limits, keys, SDKs, terms, retention, deprecations) are the Gemini API listing's of 1 November. Google's post saying Carbon is available couldn't be read on 10 November, and the Gemini API pricing page as read showed no Carbon row. No account was made and nothing was called
- Model IDs: gemini-4-carbon, and gemini-4-carbon-cyber-permissive for projects approved through the Fairwind Program, which defaults to HIGH thinking
- Context: 1,048,576 tokens for input and output together, output including thinking and function calls. 65,536 output tokens by default; a streamed segment returns up to 65,536 and a non-streamed one 32,768
- Inputs and outputs: Text, PDF, Microsoft Office and OpenDocument files, and video (agentic video processing off by default) in; text, function calls and JSON to a schema out
- Pricing: $2 input, $10 output per million tokens to start, cached input 95% off, then $4 and $20, per Google's 28 October announcement. Gemini 4 Argon's introduction ends on 30 November. Search grounding billed per query
- Where: Gemini API paid tier in AI Studio and Android Studio; AI Studio and Antigravity for Google AI Ultra subscribers; Gemini for business for enterprises
- Google's figures: Vendor-reported, evaluated without guardrails: SEC-bench Pro 88.2%, ExploitGym 54.8%, CWE-bench 71.0%, Gray Swan prompt injection 0.0% attack success (Argon 0.7%), Artificial Analysis Intelligence Index v5.0 59, WebDev Arena 1768. Google says about half as many unsupported claims as Argon
- Prices: Gemini 4 Carbon input $2 per 1M tokens; Gemini 4 Carbon cached input $0.10 per 1M tokens; Gemini 4 Carbon output $10 per 1M tokens

- Scores: Reliability 40, Performance pending, Schema & documentation 85, Agent ergonomics 93, Security & auth 55, Payments & pricing 20, Task success pending, Maintenance & community 83, Transparency & trust 72 · total over the 7 assessed categories
- Why: Reliability, Model reading for gemini-4-carbon on the Gemini API. · Schema & documentation, Model reading for gemini-4-carbon on the Gemini API. · Agent ergonomics, Model reading for gemini-4-carbon on the Gemini API. · Security & auth, Model reading for gemini-4-carbon on the Gemini API. · Payments & pricing, Model reading for gemini-4-carbon on the Gemini API. · Maintenance & community, Model reading for gemini-4-carbon on the Gemini API. · Transparency & trust, Model reading for gemini-4-carbon on the Gemini API.
- Sources: 49, open questions: 4, both in the full twin
- Capabilities: inference.llm
- JSON: https://www.anchorterminal.com/api/v1/tools/gemini-4-carbon.json
- Its vendor verifies the listing with `verify_listing` or `POST https://www.anchorterminal.com/api/v1/verify` (the full twin says how); no effect on the grade.

## Before you call it

1. Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project
2. Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k
3. Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers
4. Put static prompt content first so implicit caching applies; explicit caches aren't supported
5. Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests

## Connect

```bash
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-4-carbon:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" -H "content-type: application/json" \
  -d '{"contents":[{"parts":[{"text":"hello"}]}]}'
```

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| Vertex AI (Gemini Enterprise Agent Platform) | AA | 88.7 | inference.llm | https://www.anchorterminal.com/tools/vertex-ai.min.md |
| OpenAI API | A | 83.9 | inference.llm | https://www.anchorterminal.com/tools/openai-api.min.md |
| Amazon Bedrock | A | 81.7 | inference.llm | https://www.anchorterminal.com/tools/amazon-bedrock.min.md |
| Azure OpenAI in Foundry Models | A | 80 | inference.llm | https://www.anchorterminal.com/tools/azure-openai.min.md |
| BlockRun.AI | A | 78.9 | inference.llm | https://www.anchorterminal.com/tools/blockrun-ai.min.md |


## Panel reviews (0, desk reviews from public material, no calls made)