Model summary
Speed
Gemini 4 Carbon (High) is amongst the leading models in intelligence, but somewhat expensive when comparing to other models of similar price. The model supports text, image, speech, and video input, outputs text, and has a 1M tokens context window.
Gemini 4 Carbon (High) scores 59 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 42). When evaluating the Intelligence Index, it generated 200M tokens, which is very verbose in comparison to the median of 64M.
Pricing for Gemini 4 Carbon (High) is $4.00 per 1M input tokens (somewhat expensive, median: $2.00) and $20.00 per 1M output tokens (expensive, median: $10.00). On average, it costs $7.76 per task to evaluate Gemini 4 Carbon (High) on the Intelligence Index.
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image, speech, and video |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
-
Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
-
<$0.15 per 1M tokens
-
$0.15–$1 per 1M tokens
-
$1 per 1M tokens
Speed
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Evaluations
Agentic knowledge work, Elo
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Physics reasoning
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic real-world work tasks, Elo
Agentic interactive 3D experiences, Elo
Product and brand videos designed in code, Elo
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
Rich, varied, well-crafted language
Well-structured, scannable, answer-first
Truthful, acknowledges uncertainty, non-sycophantic
Use of filler and generic language
AA-Briefcase v1.1
AA-Briefcase Elo
AA-Omniscience v1.1
AA-Omniscience Index
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Frequently Asked Questions #
Common questions about Gemini 4 Carbon (High)
Gemini 4 Carbon (High) was released on October 28, 2026.
Gemini 4 Carbon (High) was created by Google.
Gemini 4 Carbon (High) scores 59 on the Artificial Analysis Intelligence Index, placing it well above average among other models in a similar price tier (median: 42).
Gemini 4 Carbon (High) costs $4.00 per 1M input tokens (somewhat higher than average, median: $2.00) and $20.00 per 1M output tokens (at the higher end, median: $10.00), based on Google's API.
Gemini 4 Carbon (High) costs $4.00 per 1M input tokens and $20.00 per 1M output tokens (based on Google's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.94 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Gemini 4 Carbon (High) generated 200M output tokens, which is at the higher end compared to other models in a similar price tier (median: 64M).
Yes, Gemini 4 Carbon (High) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Gemini 4 Carbon (High) supports text, image, speech, and video input.
Gemini 4 Carbon (High) supports text output.
Yes, Gemini 4 Carbon (High) supports image input and can analyze, describe, and answer questions about images.
Yes, Gemini 4 Carbon (High) is multimodal. It can process text, image, speech, and video input and generate text output.
Gemini 4 Carbon (High) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Gemini 4 Carbon (High) is proprietary. The model weights are not publicly available.
Gemini 4 Carbon (High) is a proprietary model and Google has not disclosed the model size or parameter count.
Gemini 4 Carbon (High) achieves a score of 59 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Gemini 4 Carbon (High) is available via API through 1 provider. [Compare API providers](https://artificialanalysis.ai/models/gemini-4-carbon/providers)
Gemini 4 Carbon (High) is available through 1 API provider. [Compare providers](https://artificialanalysis.ai/models/gemini-4-carbon/providers)