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Google: Gemini 4 ArgonActive50% OFF

google/gemini-4-argon
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Gemini 4 Argon is a frontier model from Google DeepMind, released on September 30, 2026. It is the first model in the Gemini 4 series and uses a new naming scheme. It is strong in coding, financial research, legal drafting, and autonomously patching cybersecurity vulnerabilities. It accepts text, image, video, and file inputs and has a 1-million-token context window. On benchmarks, it scores 77.9% on DeepSWE v1.1, ahead of Claude Opus 5.5 and GPT-6 Astra, and ranks first on the Vals Index with 68.90%.

By:GoogleInput Type:Output Type:Publish time:2026-10-13

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext
Google Vertex
google-vertex
65.7%$4$2/ M tokens$20$10/ M tokensRead:0.20.1/ M tokensWrite:-/ M tokens1.05M8.43s43.7tps

Uptime

Direct request success rate on AI Gateway and per-provider.

Oct 26, 20:19
Google Vertex100.00%

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Oct 26, 19:00
Google Vertex43.7 tps

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Oct 26, 19:00
Google Vertex8.43s

Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Google Vertex760.3M

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

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