# Gemini 4

Google, released 2026-09-30

**Verdict: pending.** Gemini 4 is Google DeepMind's confirmed next-generation frontier model — pre-training began July 21, 2026 on what Google calls its 'most ambitious' run yet. Sundar Pichai has positioned it as the answer to coding and agentic gaps, targeting where the frontier will be at launch, not where it sits today. But everything else is unknown: no benchmarks, no pricing, no specs, no GA release date, and the delayed Gemini 3.5 Pro's relationship to it remains unresolved. Watchlist-only until Google ships something concrete. Last verified 2026-10-13.

## Pricing

- Input: $2 / 1M tokens (through Nov 30)
- Output: $10 / 1M tokens (through Nov 30)
- Context: $2/$10 to Nov 30, then $4/$20; paid tier only

## Strengths

- Agentic coding, enterprise knowledge work and cyber defense, the stated design focus of Gemini 4 Argon, per Google's own self-reported benchmarks
- Trying a frontier model at the introductory $2 input and $10 output per 1M tokens, which Google's pricing page lists through Nov 30 before the rate moves to $4 and $20
- Budgets that assume the introductory rate past Nov 30: Google's pricing page lists $4 input and $20 output per 1M tokens after that date
- Decisions that need independent benchmark confirmation: every published score is self-reported by Google

## Benchmarks

- DeepSWE v1.1: 77.9% (https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)
- CWE-bench v1: 68.0% (tied first) (https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)
- LVBench: 91.7% (https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)
- AutomationBench: 51.3% (#1) (https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)
- Vals Index: 68.9% (https://deepmind.google/models/gemini/)

## Sources

- [Google Blog: Gemini 4 Argon](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)
- [Gemini API changelog: Gemini 4 Argon released (Oct 13, 2026)](https://ai.google.dev/gemini-api/docs/changelog)
- [Google Blog](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/)
- [CRN: Google CEO On Gemini 4, Allocating TPUs, AI Models And Gemini Enterprise](https://www.crn.com/news/cloud/2026/google-ceo-on-gemini-4-allocating-tpus-ai-models-and-gemini-enterprise)
- [Google DeepMind: Gemini models](https://deepmind.google/models/gemini/)
- [Gemini API model page: gemini-4-argon](https://ai.google.dev/gemini-api/docs/models/gemini-4-argon)

Canonical: https://neomanex.com/models/gemini-4