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- Gemini 4 Argon
Gemini 4 Argon: Benchmarks, Pricing & Context Window
Gemini 4 Argon is a language model from Google, released in September 2026, with multimodal input.
Gemini 4 Argon is Google DeepMind's frontier Gemini 4 model for long-horizon software engineering, enterprise knowledge work (legal and finance), cybersecurity defense, and multimodal understanding (charts and video). It expands the output
Gemini 4 Argon benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Gemini 4 Argon across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Gemini 4 Argon holds up as conversations get longer.
Quality Tracker
Gemini 4 Argon Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
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Gemini 4 Argon latency
Gemini 4 Argon time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Gemini 4 Argon examples
Recent arena outputs from Gemini 4 Argon, picked from the highest-ranked matchups.
Gemini 4 Argon license
Gemini 4 Argon is a proprietary model available under its provider's product and API terms.
- License
- Proprietary
- Hosted access
Proprietary license - usage restrictions apply
Gemini 4 Argon resources
Official sources for Gemini 4 Argon: paper or system card, official launch post.
Gemini 4 Argon vs other models
The most-compared alternatives to Gemini 4 Argon are GPT-6 Astra, Muse Spark 1.3, Atria Dawn Preview. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Gemini 4 Argon
Models ranked just above and below Gemini 4 Argon by LLM Stats score.
FAQ
Common questions about Gemini 4 Argon.