Textby Google

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...

  • By price it is in the pricier half of the 347 text models GenMagic runs (284th cheapest).
  • It scores 60 on the Artificial Analysis Intelligence Index, 2nd of the 120 text models with a score.
  • Among the models GenMagic runs, it places in the top 10 on 18 of its 18 benchmarks: 1st of 196 on GPQA Diamond, 1st of 175 on LMArena (Coding), 1st of 175 on LMArena (Overall), and more below.
  • It was listed on Nov 10, 2026.

Data last changed Nov 11, 2026 · tracked since Nov 11, 2026 · Every model change

Try Gemini 4 Carbon

Generate with Gemini 4 Carbon right here. Verify your email to start with free credits.

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Specifications

Context window

1M tokens

Max output

944K tokens

Input price

$3.00 / 1M tokens

Output price

$15.00 / 1M tokens

Cached input

$0.15 / 1M tokens

Benchmarks

How Gemini 4 Carbon scores on public benchmarks. Each card links to the benchmark explainer and to the original source.

60

source date 2026-11-10
Source: openrouter
AIMEMathematics

100%± 0.0

highsource date 2026-11-02
Source: epoch
APEX-AgentsAgentic & Tool Use

84.2%

unknown
Source: epoch
Chess PuzzlesReasoning & Knowledge

78%± 4.2

highsource date 2026-11-02
Source: epoch

87.6

highsource date 2026-11-05
Source: epoch

95.1%± 3.4

highsource date 2026-11-02
Source: epoch

90.5%± 1.7

highsource date 2026-11-02
Source: epoch
GPQA DiamondReasoning & Knowledge

96.5%± 1.2

highsource date 2026-11-02
Source: epoch
LMArena (Coding)Instruction & Preference

1563 Elo

highsource date 2026-11-09
Source: lmarena
LMArena: Creative WritingInstruction & Preference

1532 Elo

highsource date 2026-11-09
Source: lmarena
LMArena: Hard PromptsInstruction & Preference

1550 Elo

highsource date 2026-11-09
Source: lmarena

1548 Elo

highsource date 2026-11-09
Source: lmarena
LMArena: MathMathematics

1538 Elo

highsource date 2026-11-09
Source: lmarena
LMArena: Multi-TurnInstruction & Preference

1568 Elo

highsource date 2026-11-09
Source: lmarena
LMArena (Overall)Instruction & Preference

1538 Elo

highsource date 2026-11-09
Source: lmarena
Mystery Game PuzzlesReasoning & Knowledge

73%± 4.5

highsource date 2026-11-02
Source: epoch
SciCodeCoding

64.2%

high
Source: epoch
SimpleQA VerifiedReasoning & Knowledge

77.7%± 1.3

highsource date 2026-11-02
Source: epoch

Compare against every model in the full benchmark matrix.

Capabilities

Reasoning

Works through multi-step problems before answering, for harder tasks.

Vision input

Accepts images alongside text, so you can prompt with pictures and screenshots.

Tool use

Can call functions and tools, enabling agentic and structured workflows.

Structured output

Returns validated JSON that conforms to a schema you define.

Use Gemini 4 Carbon through the API

The model id is google/gemini-4-carbon. Requests bill your GenMagic balance at the price above, and each response reports what it cost.

curl
curl https://genmagic.co/api/v1/chat/completions \
  -H "Authorization: Bearer $GENMAGIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-4-carbon",
    "messages": [{ "role": "user", "content": "Explain vector databases in two sentences." }]
  }'
Python (openai SDK)
from openai import OpenAI

client = OpenAI(base_url="https://genmagic.co/api/v1", api_key="YOUR_GENMAGIC_API_KEY")

resp = client.chat.completions.create(
    model="google/gemini-4-carbon",
    messages=[{"role": "user", "content": "Explain vector databases in two sentences."}],
)
print(resp.choices[0].message.content)

From an AI agent, call generate_text with "model": "google/gemini-4-carbon" on the GenMagic MCP server. Keys, limits and every endpoint are in the API documentation.

Use Gemini 4 Carbon in n8n

  1. In n8n, open the nodes panel, search for GenMagic and install it (a verified community node), then add it to your workflow.
  2. Set Resource to Text and Operation to Generate.
  3. In Model Name or ID, pick Google: Gemini 4 Carbon, or enter google/gemini-4-carbon as an expression.
  4. Connect your GenMagic API key (get one free). Each run is billed at the price above, and the node returns what it cost.

Ready-to-import workflows that already use the node are on GenMagic for n8n.

Similar-priced text models from other providers

Other text models GenMagic runs at a comparable price, on the same balance and API key.

ModelProviderPriceContext
Google: Gemini 4 Carbon (this model)Google$3.00 in / $15.00 out per 1M tokens1M
MoonshotAI: Kimi K3.1 ProMoonshot AI$3.00 in / $15.00 out per 1M tokens1M
OpenAI: GPT-6.1 Sol ProOpenAI$3.00 in / $15.00 out per 1M tokens1.1M
Anthropic: Claude Sonnet 5.5Anthropic$3.00 in / $15.00 out per 1M tokens1M
Z.ai: GLM 5.3 PrimeZ.AI$4.20 in / $13.20 out per 1M tokens1M
Xiaomi: MiMo-V2.6-Pro-UltraSpeedXiaomi$6.53 in / $13.05 out per 1M tokens1M

Compare Gemini 4 Carbon

More from Google

All 40 Google models

Price and listing history

Every change GenMagic has recorded for Gemini 4 Carbon since it began tracking the model on Nov 11, 2026. Prices are GenMagic's, the same the studio and the API charge.

DateChangeBeforeAfter
Nov 11, 2026Listed-$3.00 in / $15.00 out per 1M tokens

Where these figures come from

  • Price: GenMagic's own price, what the studio and the API charge, recomputed from the provider's price list every few minutes and recorded daily. How pricing works.
  • Specs and description: as Google publishes them, checked daily.
  • Benchmarks: 18 scores from Artificial Analysis and OpenRouter, Epoch AI, LMArena, re-read daily. Each score above links to its source.
  • Changes: the data on this page last changed on Nov 11, 2026, tracked since Nov 11, 2026. Every model's new listings, price changes and retirements are in the model changes log, and how every figure on GenMagic is sourced is on our sources page.

Generate with Gemini 4 Carbon today

One GenMagic plan unlocks Gemini 4 Carbon and every other model across text, image, audio, and video.