GoogleFastReleased 10 November 2026
Gemini 4 Carbon pricing, context and benchmark
Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work.
1.05M
Input context
944K
Output context
$2
Official input
$10
Official output
n/a
AA index
01 · Model Overview
Everything that matters, in one table
Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.
| Model | Gemini 4 Carbon |
| Model ID | google/gemini-4-carbon |
| Provider | |
| Release date | 10 November 2026 |
| Status | Generally available |
| Input context | 1,048,576 tokens |
| Output context | 943,718 tokens |
| Official input pricing | $2 per 1M tokens |
| Official output pricing | $10 per 1M tokens |
| Cache read pricing | $0.1 per 1M tokens |
| Market input pricing | $1 per 1M (cheapest route) |
| Market output pricing | $5 per 1M (cheapest route) |
| Reasoning tokens | Billed as output at $10 per 1M |
| Input modalities | audio · file · image · text · video |
| Output modalities | text |
| Reasoning control | Yes, effort levels exposed |
| Tool support | Functions, tool choice, structured outputs |
| Tokenizer | Gemini |
| Provider routes | 7 endpoints |
| Artificial Analysis index | Not published |
| Speed | Not published |
| Knowledge cutoff | Not publicly stated |
Input and output support
| Modality | Input | Output | Billed at |
|---|---|---|---|
| Text | ✓ yes | ✓ yes | $2 in |
| Image | ✓ yes | no | $2 in |
| Audio | ✓ yes | no | $2 in |
| Video | ✓ yes | no | $2 in |
| File (PDF) | ✓ yes | no | $2 in |
02 · Overview
What is Gemini 4 Carbon?
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...
Gemini 4 Carbon carries a 1.05M token window, uses the Gemini tokenizer and is served by Google. On Hoodgen it sits in the Fast tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.
03 · Release
Release and what changed from the previous version
Released10 November 2026
| Property | Gemini Omni 1.2 Flash | Gemini 4 Carbon | Change |
|---|---|---|---|
| Released | Nov 2026 | 2026 | Newer release |
| Context | 131K | 1.05M | Changed |
| Max output | 66K | 944K | Changed |
| Input price | $1.5 | $2 | Higher |
| Output price | $9 | $10 | Higher |
| Input modalities | text, image, video | audio, file, image, text, video | Unchanged |
| AA index | n/a | n/a | Newer benchmark run |
04 · Capabilities
Features and capabilities
◈
Thinking control
Reasoning effort can be dialled per request, so one model covers deep analysis and fast chat.
⚙
Function calling
Tools, tool choice and parallel calls, which is what agent loops need to act on results.
{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.
◉
Vision
Screenshots, charts and photographed documents are read at the text token rate.
▤
Files and PDFs
Documents go in as files rather than pasted text, keeping layout and tables intact.
♪
Audio and video
Calls, meetings and screen recordings can be summarised in one pass.
⚡
Prompt caching
Cached input costs $0.1 per million instead of $2, so stable prefixes get cheaper.
⌁
Seeds
A seed can be pinned so the same prompt is reproducible across test runs.
⌕
Built in tools
Native web_search without an extra integration.
05 · Reasoning
Thinking and reasoning capabilities
Gemini 4 Carbon can think before answering and exposes the effort level per request. Reasoning tokens bill as output at $10 per million, and the trace can be returned with include_reasoning.
| Level | First token | Cost per task | Best for |
|---|---|---|---|
| Measured | n/a | n/a | Artificial Analysis measures the default reasoning configuration |
| Low effort | Faster | Lower | Chat, autocomplete, classification |
| High effort | Slower | Higher | Debugging, planning, multi step agents |
07 · Use cases
What can you do with Gemini 4 Carbon?
High volume drafts
Captions, titles, product blurbs and rewrite passes where cost per call dominates.
Inline assistants
Autocomplete, quick replies and menu helpers that must answer inside a second.
Batch classification
Tagging, routing and extraction across thousands of short inputs.
Cheap agent loops
Tool calling loops that do not need frontier grade reasoning.
08 · Cost levers
Prompt caching and how to cut the bill
Cached input bills at $0.1 per million instead of $2. Keep the system prompt and documents first and the changing question last, so every call hits the cache.
09 · Pricing
Gemini 4 Carbon pricing
Official pricing
List price
$2 / 1M in
$10 / 1M out
- $0.1 cached input
- 1.05M context
- audio, file, image, text, video input
Cheapest route
$1 / 1M in
$5 / 1M out
- 7 routes on OpenRouter
- What Hoodgen routes to first
- Same model, lower bill
Market pricing, every route
| Provider | Tier | Input | Output | Cache read | Uptime 24h |
|---|---|---|---|---|---|
| Google AI Studio | standard | $1 | $5 | $0.05 | 100.0% |
| standard | $2 | $10 | $0.1 | 66.7% | |
| Google AI Studio | standard | $2 | $10 | $0.1 | 100.0% |
| standard | $2.2 | $11 | $0.11 | n/a | |
| standard | $2.2 | $11 | $0.11 | n/a | |
| standard | $3.6 | $18 | $0.18 | n/a | |
| Google AI Studio | standard | $3.6 | $18 | $0.18 | n/a |
API pricing and cost calculator
| Rate | Per call | Total | Credits |
|---|---|---|---|
| Cheapest route | $0.0161 | $8.05 | 7648 |
| List price | $0.0322 | $16.10 | 15296 |
10 · Developers
API and developer information
| Model ID | google/gemini-4-carbon |
| Endpoint | https://openrouter.ai/api/v1/chat/completions |
| Parameters | include_reasoning · max_tokens · reasoning · reasoning_effort · response_format · seed · stop · structured_outputs · temperature · tool_choice · tools · top_p |
| Streaming | Yes, server sent events |
| Modality string | text+image+file+audio+video->text |
| Max prompt tokens | 1,048,576 |
| Max completion tokens | 943,718 |
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-4-carbon",
"messages": [{ "role": "user", "content": "Summarise this document." }],
"max_tokens": 1024
}'11 · Limitations
Model limitations
| Text only output | It cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals. |
| Output cap | 943,718 tokens per request. Long deliverables have to be chunked. |
| Benchmarks not published | Artificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here. |
| Knowledge cutoff | The provider does not state a fixed cutoff for every release. Verify very recent events against search. |
| Depth ceiling | Fast tier: strong on throughput, weaker than flagship tiers on long multi step reasoning. |
12 · Comparison
Gemini 4 Carbon vs other Google models
| Model | Context | Input /1M | Output /1M | AA index | Released |
|---|---|---|---|---|---|
| Gemini 4 Carbon | 1.05M | $2 | $10 | n/a | 2026 |
| Gemini 3.1 Pro Preview | 1.05M | $2 | $12 | n/a | 2026 |
| Gemini 4 Argon | 1.05M | $2 | $10 | 50 | Oct 2026 |
| Gemini 3.1 Pro Preview Custom Tools | 1.05M | $2 | $12 | n/a | 2026 |
| Nano Banana Pro (Gemini 3 Pro Image) | 131K | $2 | $12 | n/a | 2026 |
| Nano Banana Pro (Gemini 3 Pro Image Preview) | 66K | $2 | $12 | n/a | 2025 |
13 · Privacy
Privacy and data policy
- On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
- Requests route through OpenRouter to Google and are covered by that provider's API terms.
- Do not paste secrets or personal data you would not send to any hosted model.
14 · FAQ
Gemini 4 Carbon questions, answered
Gemini 4 Carbon is a fast model from Google, released 10 November 2026. Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work.
✦
Start chatting with Gemini 4 Carbon
Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.