PulseAugur
EN
LIVE 18:34:45

Google DeepMind launches Gemini 4 Argon model with competitive pricing

By PulseAugur Editorial · [1 sources] ·

Google DeepMind has released its new Gemini 4 Argon model, accessible via the Gemini API and a $100/month subscription plan. Initially priced at $2/million input and $10/million output, the cost is set to double on December 1st. Early benchmarks from Artificial Analysis indicate Gemini 4 Argon is cost-effective for running benchmarks, costing $2,407, which is competitive with other leading models like GLM 5.3 and significantly cheaper than offerings from OpenAI, Anthropic, and Meta. AI

IMPACT Sets a new benchmark for cost-effectiveness in model inference, potentially influencing pricing strategies across the industry.

RANK_REASON New model release from a frontier lab (Google DeepMind). [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Simon Willison →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google DeepMind launches Gemini 4 Argon model with competitive pricing

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New model release from a frontier lab (Google DeepMind). [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Simon Willison TIER_1 Türkçe(TR) ·

    llm-gemini 0.35

    <p><strong>Release:</strong> <a href="https://github.com/simonw/llm-gemini/releases/tag/0.35">llm-gemini 0.35</a></p> <p>I added support to <a href="https://github.com/simonw/llm-gemini">llm-gemini</a> for the <a href="https://blog.google/innovation-and-ai/models-and-research/gem…

RELATED ENTITIES

RELATED TOPICS