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%.
Providers #
Route requests across multiple providers. Copy a provider slug to set your preference.
$4
$2
/ M tokens
$20
$10
/ M tokens Read:
0.2
0.1/ M tokens
Write:
-/ M tokens1.05M4.66s54.1tps
Uptime #
24hours Direct request success rate on AI Gateway and per-provider.
Throughput #
24hours P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency #
24hours P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity #
Token volume and request traffic to this model over time.
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
Related Models #
More models from Google