LLMS • CURATED • UPDATED OCT 1, 2026

Gemini 4 Argon

Google's first Gemini 4 model: claimed top coding benchmarks, vetting-gated access
Price
Enterprise
API
No
Weights
No

Gemini 4 Argon is the first model of Google's Gemini 4 generation, revealed September 30, 2026 by chief AI architect and Google DeepMind SVP Koray Kavukcuoglu — notably skipping a Gemini 3.5 Pro release. Per Google, it delivers frontier performance across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense, scoring 77.9% on DeepSWE v1.1 against GPT-6 Astra, Claude Fable 5.1 and Opus 5.5, tying GPT-6 Astra on CWE-bench and leading the Vals Index. Its output ceiling rises to 1 million tokens, up from 64K. Access is limited to Google's Fairwind Program, serving vetted governments and cyber-authority customers, after a voluntary US government pre-release review; Google has given no general-availability date or pricing.

Argon is the marker for where Google says the frontier now sits: claimed top scores on the coding benchmarks this directory's readers care about, plus a 16x larger output ceiling for long-horizon agent work. It ranks high on the strength of Google's own numbers, with access restrictions stated plainly — only vetted Fairwind organizations can use it today.

Pricing Enterprise
Platforms web, api
API No
Open Source No
Modalities LLMs
Best For Best Claimed Coding Benchmarks
Date Added 2026-10-01
  • ✓77.9% on DeepSWE v1.1 per Google, ahead of GPT-6 Astra, Fable 5.1 and Opus 5.5
  • ✓Ties GPT-6 Astra on CWE-bench and leads the Vals Index, by Google's numbers
  • ✓1 million output tokens, 16x the previous 64K ceiling
  • ✓Completed a voluntary US government pre-release review process
  • ⚠No public access — Fairwind Program vetting only
  • ⚠No pricing or general-availability date published
  • ⚠All benchmark figures are Google's own; no independent verification yet
  • ⚠Output-token ceiling at general availability may differ from the 1M figure

There is no self-serve signup: access runs through Google's Fairwind Program for vetted governments and cyber-authority customers. Everyone else should keep building on the publicly available Gemini 3 generation and re-evaluate when Google announces general availability, which it has not dated or priced.

Enterprise

Enterprise pricing — contact Gemini 4 Argon for a custom quote and contract terms.

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Q

Is Gemini 4 Argon free?

A

Gemini 4 Argon is offered as an enterprise solution; contact the provider for pricing.

Q

Does Gemini 4 Argon have an API?

A

No, Gemini 4 Argon does not appear to offer a public API.

Q

What is Gemini 4 Argon best for?

A

Gemini 4 Argon is best for Best Claimed Coding Benchmarks. Gemini 4 Argon is the first model of Google's Gemini 4 generation, revealed September 30, 2026 by chief AI architect and Google DeepMind SVP Koray Kavukcuoglu — notably skipping a Gemini 3. Argon is the marker for where Google says the frontier now sits: claimed top scores on the coding benchmarks this directory's readers care about, plus a 16x larger output ceiling for long-horizon agent work. It ranks high on the strength of Google's own numbers, with access restrictions stated plainly — only vetted Fairwind organizations can use it today.

Q

What platforms does Gemini 4 Argon support?

A

Gemini 4 Argon supports web, api.

Q

Is Gemini 4 Argon open source?

A

No, Gemini 4 Argon is not open source.

Q

How do I get started with Gemini 4 Argon?

A

There is no self-serve signup: access runs through Google's Fairwind Program for vetted governments and cyber-authority customers. Everyone else should keep building on the publicly available Gemini 3 generation and re-evaluate when Google announces general availability, which it has not dated or pr...

Q

How do I use Gemini 4 Argon?

A

Gemini 4 Argon is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at 77.9% on deepswe v1.1 per google, ahead of gpt-6 astra, fable 5.1 and opus 5.5.

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