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Google · Text model · GA

Gemini 4 Argon

Google: our flagship reasoning model, built for complex software engineering, deep maths and science problem solving and autonomous multi-step agents ai.google.dev (opens in a new tab)

US$2Input / 1M
US$10Output / 1M
1.05MContext
50AA index
83Tokens/s
mediumDefault level

Compare with similar models Open the Model Finder

Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated. AA index and speed are from Artificial Analysis at the high setting.

Reasoning levels

Which level to choose

Google names these settings thinking_level. Price per token is the same at every level. Higher levels usually use more output tokens. ai.google.dev (opens in a new tab)

LevelWhen to use it, per GoogleAA indexTokens/s
lowNo per-level advice published––
medium defaultNo per-level advice published––
highNo per-level advice published50 artificialanalysis.ai (opens in a new tab)83 artificialanalysis.ai (opens in a new tab)

Our rule of thumb: Simple or speed-critical work: low. Standard work: the lab's default. Complex work: high. Use xhigh or max only when your own tests show a gain, as OpenAI and Anthropic both advise. developers.openai.com (opens in a new tab)platform.claude.com (opens in a new tab)

Charts

Where Gemini 4 Argon sits on quality against price

Highlighted point is Gemini 4 Argon. Grey points are the other 26 text models with both figures. Index at each model's best tested setting.

Show the data as a table
ModelIndexBlended US$/1M
GPT-6 Astra5720.000
GPT-6.1 Sol554.000
GPT-6.1 Terra512.000
GPT-6 Luna280.200
Claude Fable 5.15020.000
Claude Opus 5.5588.000
Claude Sonnet 5.5544.000
Claude Haiku 5.5360.200
Gemini 4 Carbon594.000
Gemini 4 Argon504.000
Gemini 3.8 Flash311.500
Gemini 3.5 Flash-Lite120.850
Grok 4.7353.000
Muse Wonder438.000
Mistral Large 4261.050
Mistral Small 440.262
DeepSeek V4.1 Flash 1017320.525
DeepSeek V4 Pro231.980
Qwen3.8-Max343.000
Kimi K3.1 Pro464.000
GLM-5.3322.150
GLM-5.3-Flash280.237
MiniMax M3.1 Flash290.262
MiniMax M3190.525
MiMo-V2.6-Pro300.544
MiMo-V2.6-Flash270.175
Step 5 Preview291.425
List price against similar models

US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.

Show the data as a table
ModelInput US$/1MOutput US$/1M
Gemini 4 Argon210
Claude Sonnet 5.5210
Kimi K3.1 Pro210
GPT-6.1 Sol210
GPT-6.1 Terra15

Full sourced profile

LabGoogle
TypeText
StatusGA ai.google.dev (opens in a new tab)
Released13 Oct 2026 models.dev (opens in a new tab)
API accessYes ai.google.dev (opens in a new tab)
API model IDgemini-4-argon ai.google.dev (opens in a new tab)
API rate limits–
Consumer app plansGoogle AI Plus, Google AI Pro, Google AI Ultra gemini.google (opens in a new tab)Usage rises with each plan
Price at each levelSame per-token price at every level. ai.google.dev (opens in a new tab)
Input per 1M tokensUS$2 ai.google.dev (opens in a new tab)Introductory to 30 Nov 2026. US$4 from 1 Dec
Output per 1M tokensUS$10 ai.google.dev (opens in a new tab)Introductory to 30 Nov 2026. US$20 from 1 Dec
Cached inputUS$0.1 ai.google.dev (opens in a new tab)
Batch in / outUS$1 / US$5 ai.google.dev (opens in a new tab)
Other pricing–
Context window1.05M tokens ai.google.dev (opens in a new tab)Unified input and output limit
Max output66K tokens ai.google.dev (opens in a new tab)Default. Up to 1,048,576 with long decode
Input typestext, image, video, audio, pdf ai.google.dev (opens in a new tab)
Output typestext
WeightsClosed ai.google.dev (opens in a new tab)
ReasoningYes ai.google.dev (opens in a new tab)
Tool useYes ai.google.dev (opens in a new tab)
Artificial Analysis index50 (high) artificialanalysis.ai (opens in a new tab)
Output speed83 tokens/s artificialanalysis.ai (opens in a new tab)
Time to first token49.13 s artificialanalysis.ai (opens in a new tab)
Reasoning levelslow, medium (default), high ai.google.dev (opens in a new tab)
Lab benchmark claims–
Limitations
  • Price doubles on 1 Dec 2026
  • Not on the Gemini API free tier

Tools and MCP connectors that fit

Google: Remote MCP in the Interactions API, Streamable HTTP servers only ai.google.dev (opens in a new tab). These official remote MCP servers fit that rule. We have not tested each server with this model. A server that publishes a client list is left out when this lab is not on it.

Open the tool finder for Gemini 4 Argon

Similar alternatives

Same type, closest on quality index and blended price. A similarity, not a ranking.

Compare Gemini 4 Argon with Claude Sonnet 5.5 and Kimi K3.1 Pro

All 109 AI models · AI agents · How we check sources

Latest news from Google

All AI news

Google United States

Google DeepMind releases Gemini Robotics 2.5 for real-world robots

DeepMind says its new vision-language-action model, built with Gemini 4 Argon, was tested on more than 200 tasks, finishes tasks 20% to 30% faster than the previous version and packed automotive parts with a 96% success rate in proof-of-concept tests at Mercedes-Benz. It is rolling out through partners including Agile Robots, Apptronik and Boston Dynamics. The figures are DeepMind's own; more robot training and inference means more GPU demand in data centres.

Source: SiliconANGLE (opens in a new tab)

Google United States

One robots.txt line to opt a website out of AI training

Google says it will support a shared AI training control in robots.txt, alongside Microsoft, OpenAI and Anthropic. It is based on an IETF draft. Website owners get one switch instead of one per crawler.

Source: Google Search Central Blog (opens in a new tab)

Google United States

Google Cloud revenue more than doubles as Alphabet spends $51.4bn in a quarter

Alphabet put $51.4bn into capex in Q3, about 35% of its technical infrastructure spend going to data centres. Google Cloud revenue grew 103% to $30.7bn.

Source: Alphabet (SEC exhibit 99.1) (opens in a new tab)