Google: Gemini 4 Carbon
google/gemini-4-carbon
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog listing, google/gemini-4-carbon is a Google Gemini 4 family model positioned for coding, agentic, and complex reasoning work. The listing describes multimodal input (text, image, audio, video, and files) with text output, a context window of about one million tokens, and always-on reasoning with adjustable effort. The catalog also reports design-arena evaluations and a third-party intelligence index. Because the only evidence is the OpenRouter listing and no independent model card was supplied in this source pack, these capabilities are source-reported rather than independently verified.[1]
Strengths
- Broad multimodal input: the catalog lists text, image, audio, video, and file inputs, which suits mixed-media workloads.[1]
- Very long context window per the listing, suited to large documents or codebases in a single prompt.[1]
- The listing reports reasoning with adjustable effort levels and support for tool calling and structured outputs.[1]
Limitations
- Evidence is catalog-only: no independent model card was available in this source pack, so reported capabilities and evaluations need validation on real workloads.[1]
- Per the listing, reasoning is mandatory and cannot be fully disabled, which may affect latency or cost for simple requests.[1]
- Output is text only; knowledge cutoff and license terms are not listed, so those remain unknown.[1]
Where to use it
- Editorial suggestion: agentic, tool-using coding assistants, matching the listing's positioning and its tool and structured-output parameters.[1]
- Editorial suggestion: analysis of long or mixed-media inputs, such as documents with images or audio and video content, given the reported modalities and context window.[1]
- Editorial suggestion: complex reasoning tasks where the adjustable reasoning effort can be tuned per request.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 4 CarbonSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- google/gemini-4-carbon
- Canonical ID
- google/gemini-4-carbon-20261110
- Creator
- Added to OpenRouter
- 10.11.2026
- Context length
- 1,048,576
- Modality
- text+image+file+audio+video->text
- Input modalities
- audio, file, image, text, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2 / out $10
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | SS — top 10% of the cohort | reasoning: mandatory · default medium · efforts: high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 60 | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 67.9% · rank 1 | 1,311Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 67.9% · rank 6 | 1,415Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 57.4% · rank 10 | 1,330Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 55.6% · rank 13 | 1,320Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 60.5% · rank 8 | 1,346Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 53.3% · rank 17 | 1,295Elo | AA — next 20% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Google AI Studio | 1,048,576 | $1 | $5 | — | — | 100% |
| 1,048,576 | $2 | $10 | — | — | 100% | |
| Google AI Studio | 1,048,576 | $2 | $10 | — | — | 100% |
| 1,048,576 | $2.2 | $11 | — | — | 100% | |
| 1,048,576 | $2.2 | $11 | — | — | 100% | |
| 1,048,576 | $3.6 | $18 | — | — | — | |
| Google AI Studio | 1,048,576 | $3.6 | $18 | — | — | — |
Provider data retrieved: 13.11.2026
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