ZMIME
Google · Released Oct 13, 2026

Gemini 4 Argon

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents.

  • Proprietary
  • Reasoning
  • Tool calling
  • Vision
  • Audio input
  • Video input
Capability
166.1ECI · #7 of 165
Input
$2.00per 1M tokens
Output
$10.00per 1M tokens
Context
1.05M66K max output
Pricing

What it costs

Input
$2.00per million tokens
Output
$10.00per million tokens
Cached input
$0.10per million tokens
Blended (3:1)
$4.00pricier than 85% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$9.00
Team assistant25M input + 5M output tokens$100.00
Production app250M input + 50M output tokens$1,000

Official Google API price, as listed on models.dev.

Capability

Independent benchmarks

166.1Epoch Capabilities Index
#7 of 165 scored models
88Median 146169

The shaded band is Epoch AI’s confidence range (163.1–170.3); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions · high setting96.4%
  • FrontierMath Tiers 1–3Research-level mathematics · high setting86.0%
  • OTIS Mock AIME 2024–2025Competition mathematics · high setting100%
  • SimpleQA VerifiedShort factual questions · high setting76.0%

Scores from Epoch AI, run independently of Google.

Specifications

The details

Lab
Google
Released
Oct 13, 2026
Knowledge cutoff
Mar 2026
Context window
1,048,576 tokens
Max output
65,536 tokens
Inputs
Text, Images, PDFs, Audio, Video
Output
Text
Reasoning
Adjustable effort low · medium · high
Tool calling
Yes
Structured output
Yes
Weights
Proprietary
API model ID
gemini-4-argonon Google
Availability
24 API providerslisted on models.dev

Google model documentation

Same lab

More from Google

Questions

About Gemini 4 Argon

How much does Gemini 4 Argon cost?

Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). Cached input is $0.10 per million tokens. At a 3:1 input-to-output mix that is $4.00 per million tokens, more expensive than 85% of the 445 priced models we track.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon accepts up to 1,048,576 tokens per request and can write up to 65,536 tokens in one response.

How good is Gemini 4 Argon?

Epoch AI gives Gemini 4 Argon a Capabilities Index score of 166.1 (likely range 163.1–170.3), ranking it #7 of 165 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 96.4%, FrontierMath Tiers 1–3 86.0%, OTIS Mock AIME 2024–2025 100%, SimpleQA Verified 76.0%.

Is Gemini 4 Argon open source?

No. Gemini 4 Argon is proprietary; you use it through Google’s API or partner platforms.

What inputs does Gemini 4 Argon support?

Gemini 4 Argon accepts text, images, PDFs, audio and video and replies in text. It is a reasoning model with low, medium and high effort settings, supports tool calling and can return structured JSON output.

When was Gemini 4 Argon released?

Google released Gemini 4 Argon on Oct 13, 2026. Its training data runs to Mar 2026.

What are the best alternatives to Gemini 4 Argon?

The closest current models from other labs on capability, price and release date are Claude Sonnet 5.5 (Anthropic, ECI 166.7, $2.00 / $10.00), GPT-6.1 Sol (OpenAI, ECI 167.8, $2.00 / $10.00), Muse Wonder (Meta, ECI 161.7, $4.00 / $20.00) and Qwen3.8 Max (Alibaba (Qwen), ECI 158.0, $2.00 / $6.00).