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Gemini 4 Argon

Google DeepMind · Multimodal model

Gemini 4 Argon is Google's newest flagship reasoning model, generally available in the Gemini API since October 13, 2026. It reads text, images, video, audio and PDFs across a 1M-token window and writes text. Google positions it for long coding,…

Current
ReleasedOct 13, 2026
Context window1,048,576 tokens (shared input/output; up to 1M output with long decode)
Input → outputtext, image, video, audio, pdf → text
API price$2.00 / 1M input tokens and $10.00 / 1M output tokens (incl. thinking) through Nov 30, 2026; $4.00 input / $20.00 output from Dec 1, 2026. No free API tier.
Consumer accessGemini app: rolling out globally for Google AI Pro & Ultra subscribers (from 2026-10-13).

Best for

Long, complex software engineering, agentic, math, science and enterprise knowledge-work tasks where top-tier reasoning matters more than cost.

Overview

Gemini 4 Argon is Google's newest flagship reasoning model, generally available in the Gemini API since October 13, 2026. It reads text, images, video, audio and PDFs across a 1M-token window and writes text. Google positions it for long coding, agent, math/science and enterprise tasks.

Strengths and limits

  • Leads Google's own comparison table on most rows, incl. Vals Index and DeepSWE
  • 1M-token context with very strong long-context retrieval (GraphWalks)
  • Full Gemini API tool set: search grounding, code execution, function calling, computer use (preview)
  • Text output only; no image/audio generation or Live API
  • Introductory API price doubles on Dec 1, 2026; not on free tier

Published benchmark scores

Vals Index68.9% Source: deepmind.google
DeepSWE v1.177.9% Source: deepmind.google
Terminal-bench 4.057.4% Source: deepmind.google
GraphWalks 256k to 1M BFS (F1)84.2% Source: deepmind.google

Scores are as published by the source; settings (reasoning effort, tools, attempts) differ between labs, so compare with care. How to read benchmarks →