---
type: "post"
id: "gemini-4-argon-is-now-available-in-cursor-31ead0"
slug: "gemini-4-argon-is-now-available-in-cursor-31ead0"
title: "Gemini 4 Argon is now available in Cursor!"
description: "Cursor’s listing makes model choice part of the coding-agent surface: Gemini 4 Argon is presented not just as a model endpoint, but as a model with access to Cursor’s file, shell, and browser tools."
retrieval_nugget: "Cursor’s listing makes model choice part of the coding-agent surface: Gemini 4 Argon is presented not just as a model endpoint, but as a model with access to Cursor’s file, shell, and browser tools."
published_at: "2026-10-13"
updated_at: "2026-10-13"
record_date: "2026-10-13"
date_kind: "published_at"
topics: ["gemini"]
source_urls: ["https://prod.cursor.com/docs/models/gemini-4-argon"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:gemini-4-argon-is-now-available-in-cursor-31ead0"
status: "published"
visuals: []
editorial_provenance: {"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:21921936910a15a68c538b6c0c30c11a931a7bebd13bd845bd1dee968d5548fe","reviewed_at":"2026-10-13T20:07:20.881Z","source_evidence_count":1,"verified_claim_count":4,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":4,"implication_count":2,"watch_condition_count":1,"related_record_count":0}
analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Model availability inside an agent editor matters because it couples model choice to the harness and its tools.","observed_facts":[{"text":"Cursor’s documentation lists Gemini 4 Argon as a Google frontier model for complex, multi-step coding work.","source_urls":["https://prod.cursor.com/docs/models/gemini-4-argon"]},{"text":"The page states a 200,000-token context window and a 1-million-token maximum, and lists four effort levels.","source_urls":["https://prod.cursor.com/docs/models/gemini-4-argon"]},{"text":"Cursor says the model has access to agent tools including file search, editing, shell commands, and browser control.","source_urls":["https://prod.cursor.com/docs/models/gemini-4-argon"]},{"text":"Cursor lists prices of $2 per million input tokens and $10 per million output tokens.","source_urls":["https://prod.cursor.com/docs/models/gemini-4-argon"]}],"mechanism":"The model is exposed within Cursor’s coding-agent environment, with tool access, selectable effort, context limits, and metered usage shaping how teams can use it.","why_now":"Cursor’s documentation now includes Argon among its available models, making the change actionable for teams already choosing models in the editor.","implications":["Builders can evaluate Argon within an existing coding-agent workflow rather than treating it as a standalone endpoint.","Teams can weigh its context and effort options against the documented token prices."],"evidence_boundary":"The supplied public source is Cursor documentation; it does not establish uptake, benchmark performance, or how this listing relates to access limits described elsewhere.","watch_conditions":["Watch whether Cursor or Google clarifies eligibility and whether teams report measurable workflow results."],"related_records":[],"new_branch_reason":"The supplied prior context concerns model access generally; this source specifically documents availability and operating terms inside Cursor."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/gemini-4-argon-is-now-available-in-cursor-31ead0/","markdown":"https://newruntime.com/posts/gemini-4-argon-is-now-available-in-cursor-31ead0.md","json":"https://newruntime.com/posts/gemini-4-argon-is-now-available-in-cursor-31ead0.json"}
---

# Gemini 4 Argon is now available in Cursor!

## Retrieval answer

Cursor’s listing makes model choice part of the coding-agent surface: Gemini 4 Argon is presented not just as a model endpoint, but as a model with access to Cursor’s file, shell, and browser tools.

Cursor’s listing makes model choice part of the coding-agent surface: Gemini 4 Argon is presented not just as a model endpoint, but as a model with access to Cursor’s file, shell, and browser tools. The practical shift is that a team can evaluate it inside an existing agent workflow rather than infer its usefulness from model specifications alone.

Thesis: Model availability inside an agent editor matters because it couples model choice to the harness and its tools. The mechanism: The model is exposed within Cursor’s coding-agent environment, with tool access, selectable effort, context limits, and metered usage shaping how teams can use it. Cursor documents a 200,000-token context window with a 1-million-token maximum, four effort levels, and access to its agent tools. It places Argon in the Other Models pool and lists $2 per million input tokens and $10 per million output tokens. Why now: Cursor’s documentation now includes Argon among its available models, making the change actionable for teams already choosing models in the editor. The implication: Builders can evaluate Argon within an existing coding-agent workflow rather than treating it as a standalone endpoint.

Evidence boundary: The supplied public source is Cursor documentation; it does not establish uptake, benchmark performance, or how this listing relates to access limits described elsewhere. The page records availability and operating terms, not actual use or comparative performance. Watch condition: Watch whether Cursor or Google clarifies eligibility and whether teams report measurable workflow results. This record starts a distinct analytical branch because the supplied prior context concerns model access generally; this source specifically documents availability and operating terms inside Cursor.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Gemini](https://newruntime.com/topics/gemini.md): Explore the gemini topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)