# Gemini 4 Argon ![Organization](https://img.shields.io/badge/Org-Google-4285F4) ![License](https://img.shields.io/badge/License-Proprietary-d29922) ![Modality](https://img.shields.io/badge/Modality-Text%20%2B%20Vision-8957e5) ![Released](https://img.shields.io/badge/Released-Sep%202026-555) ![Access](https://img.shields.io/badge/Access-Limited%20(Fairwind)-orange) > **Quick answer:** Gemini 4 Argon is Google's frontier agentic coding and reasoning model, announced September 30, 2026 in a limited release through Google's Fairwind Program rather than broad general availability. It scores 77.9% on DeepSWE, 57.4% on Terminal-Bench 4.0, and 51.3% on AutomationBench, with a 1M output token context window. Google's own comparison table shows Claude Opus 5.5 ahead on several agentic coding benchmarks (e.g. Terminal-Bench 4.0: 66.4% vs. Argon's 57.4%), while GPT-6 Astra leads on FrontierSWE v2 and Terminal-Bench Science 0.1. ## At a Glance **Where it leads:** Strong agentic software-engineering performance (DeepSWE 77.9%, Finance Agent v2 65.4%) and a 1M output token context window, among the largest disclosed for a frontier model. **Where it lags:** Trails Claude Opus 5.5 on Terminal-Bench 4.0 (57.4% vs. 66.4%) and trails GPT-6 Astra by roughly 10.5 points on both FrontierSWE v2 and Terminal-Bench Science 0.1, per Google's own comparison table. **Availability:** Limited release via Google's Fairwind Program at launch — not yet broadly available through the standard Gemini API or consumer surfaces. ## What Gemini 4 Argon Is Gemini 4 Argon is Google's latest frontier model, positioned around agentic coding and long-horizon reasoning tasks. Announced September 30, 2026, it ships initially through Google's Fairwind Program — a limited, invitation-based access tier — rather than immediate general availability, suggesting Google is still gathering real-world deployment feedback before a wider rollout. Google's own announcement includes a multi-model comparison table citing scores for Claude Opus 5.5 and GPT-6 Astra alongside Argon's own results. On that table, Argon's largest disclosed strengths are in real-world software-engineering agent tasks (DeepSWE, Finance Agent v2, Terminal-Bench Science 0.1), while Claude Opus 5.5 holds a clear lead on Terminal-Bench 4.0 and GPT-6 Astra leads on FrontierSWE v2 and Terminal-Bench Science 0.1 by about 10.5 percentage points in both cases. A standout spec is Argon's 1M output token context window, among the largest disclosed by any frontier lab to date, aimed at long-horizon agentic workflows that generate large amounts of code or text in a single pass. ## Specifications | Field | Value | |---|---| | Organization | Google | | License | Proprietary (API only) | | Modality | Multimodal (text + vision) | | Release date | 2026-09-30 | | Output context window | 1,000,000 tokens | | Availability | Limited — Google Fairwind Program | ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [Terminal-Bench 4.0](/benchmarks/terminal-bench-4) | 57.4% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | | [Terminal-Bench Science 0.1](/benchmarks/terminal-bench-science-0-1) | 57.6% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | | [AutomationBench](/benchmarks/automationbench) | 51.3% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | | [DeepSWE](/benchmarks/deepswe) (v1.1) | 77.9% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | | [Finance Agent v2](/benchmarks/finance-agent-v2) | 65.4% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | | [PostTrainBench](/benchmarks/posttrainbench) | 45.3% | [Google: Gemini 4 Argon](https://blog.google/technology/ai/gemini-4-argon/) | 2026-09 | *Scores above are reported by Google's own Gemini 4 Argon announcement and shown for context; not independent Benchgen measurements. The same announcement reports Claude Opus 5.5 scoring 66.4% on Terminal-Bench 4.0 and GPT-6 Astra scoring 65.5% on FrontierSWE v2 and 68.1% on Terminal-Bench Science 0.1 — both ahead of Argon on those specific benchmarks; Harvey Legal Agent Benchmark and FrontierSWE v2 figures from the same table were not added here due to scale/version mismatches with Benchgen's existing pages for those benchmarks.* ## Frequently Asked Questions

What is Gemini 4 Argon?

Gemini 4 Argon is Google's frontier agentic coding and reasoning model, announced September 30, 2026 with a limited initial release through Google's Fairwind Program.

Is Gemini 4 Argon publicly available?

Not broadly — at launch it is available only through Google's Fairwind Program, a limited invitation-based access tier, rather than the standard Gemini API or consumer surfaces.

How does Gemini 4 Argon compare to Claude Opus 5.5 and GPT-6 Astra?

Per Google's own comparison table, Claude Opus 5.5 leads Argon on Terminal-Bench 4.0 (66.4% vs. 57.4%), and GPT-6 Astra leads on FrontierSWE v2 and Terminal-Bench Science 0.1 by about 10.5 points in both cases. Argon's strongest disclosed results are on DeepSWE (77.9%) and Finance Agent v2 (65.4%).

What is Gemini 4 Argon's context window?

Google discloses a 1,000,000 token output context window for Gemini 4 Argon, among the largest publicly disclosed for a frontier model.

Gemini 4 Argon — Training jobs

Training jobs