GPT-6 Astra vs Gemini 4 Argon Compared

Gemini 4 Argon has the lower standard API price. Across four tests, both models built usable apps, met the story constraints, read the diagram and applied the purchasing rules correctly. We preferred Astra's story for its clearer payoff.

This comparison combines those outputs with access, pricing and published benchmarks. The tasks cover implementation, creative writing, image interpretation and policy reasoning; they do not establish an overall reliability ranking.

TLDR: Astra is way better across most tasks compared to Gemini 4 Argon

Capabilities and access

Argon's API accepts text, images, audio, video and PDFs; GPT-6 Astra lists text and image inputs. Both output text and offer roughly a million tokens of context. Astra lists a 128,000-token output limit; Argon's default is 65,536, with an API continuation workflow for longer generation. App capabilities can differ.

Argon is available in Gemini and AI Mode for Google AI Pro and Ultra users; Antigravity requires Ultra. Its paid API is accessible through AI Studio. Astra is available through its API and supported ChatGPT Work and Codex plans. Ordinary GPT-6 Chat options use Sol or Luna, so check the model setting.

API pricing through November and from December

Standard rates per million tokens, as of October 14, 2026:

For 100,000 uncached input tokens and 10,000 output tokens, the illustration is $1.50 on Astra, $0.30 on introductory Argon and $0.60 from December. Tools, caching, retries and service tiers affect billing; Astra raises rates above 272,000 input tokens. This is not measured cost per finished task.

How we compared the retained tasks

Each retained pair used the same prompt and input in fresh chats, with checks set before execution. Task briefs summarize the original requests. Astra High ran in ChatGPT Work for the app, story and policy task; its diagram run used Codex after Work attachment failures. Argon High ran in the Gemini Windows app. Story, diagram and policy tasks prohibited browsing and tools; matching High labels do not imply identical budgets.

The apps were tested in a browser. Argon High was selected for its app submission; a later quota notice changed the picker to Flash-Lite. The completed artifact was retained.

Test 1: Build a working reading tracker

Prompt:

Build Reading Shelf as one offline HTML file, starting with Pride and Prejudice, Frankenstein, The Time Machine and A Study in Scarlet. Include title or author search, combined status filtering, additions, status changes, local persistence and JSON import/export. Invalid imports must preserve existing books; markup titles must remain literal text. The app must work on desktop and phone with labelled controls and visible keyboard focus.

Astra output

Astra complete Reading Shelf app with the four original books

Gemini Argon output

Argon complete Reading Shelf app with the four original books

Both apps passed the checked workflow. Status changes and added books survived reload, each six-book export reproduced the same records after a clean import, and malformed JSON left the list intact. Both showed literal markup titles, visible keyboard focus and a usable 390-pixel layout. Astra used book-cover cards and an add-book dialog; Argon kept the add form visible.

Source inspection found no external dependencies; separate network and console traces were not captured. Astra's book-cover layout and add-book dialog give it a stronger bookshelf identity. Argon's visible form makes adding a book more direct.

Verdict Both passed the checked workflow. The choice here is interface preference, rather than a demonstrated functional advantage.

Test 2: Write a complete 60 word story

Prompt:

Write travel-brand microfiction in which a night-shift baggage worker returns a battered red suitcase and a handwritten note changes the traveller's idea of home. Use six nonempty lines, ten space-separated words per line, RETURN initials, second-person narration, red suitcase on line three and home as the final word. No dialogue, quotation marks, hyphens or digits; avoid amazing, seamless, revolutionary, magically, destiny and journey.

Astra output

Astra complete six-line story

Gemini Argon output

Argon complete six-line story

Both stories met the exact line, word, initial-letter and language constraints. Astra made the note cause an action: yeast leads to a recipe, buying flour and a kitchen smelling like Sundays. Argon supplied tactile airport imagery, but its unnamed woman and lease decision needed more context.

Verdict Compliance is tied. Our editorial preference is Astra’s clearer payoff, a judgment about these two stories.

Test 3: Read the arrows in a science diagram

Prompt:

Using only the attached energy-budget diagram, report the main fluxes and units, calculate reflection and the net energy imbalance, and explain the absorption mismatch. Check whether surface emission escapes directly to space and whether the image alone establishes an annual temperature rise. Keep the answer within 220 words.

The energy-budget diagram used for both answers

Astra response

Gemini Argon output

Argon complete six-part diagram interpretation

Both read the fluxes correctly, calculated 29.35% reflection and a positive 0.6 W/m² imbalance, and rejected the misleading caption. They distinguished surface emission from direct escape through the atmospheric window and declined to infer annual warming without heat-storage and response information.

Verdict A tie on the six image-reading checks. Astra’s successful answer used the different interface disclosed above.

Test 4: Resolve conflicting purchasing documents

Prompt:

Decide whether a fictional AtlasCloud order can proceed on October 6. The noncancellable subscription costs $1,800 monthly for 14 months, plus $400 setup and $4,608 itemised tax. Signed policy A assesses the full pre-tax commitment: Procurement review starts at $5,000 and CFO approval at $25,000. Effective addendum C1 requires Procurement review and vetting for new vendors, without an emergency waiver. A newer draft FAQ treats invoices separately; the CFO approved $25,600 but said to skip Procurement. Identify the decision, satisfied approvals, remaining actions and two contradictions in under 180 words.

Astra output

Astra complete purchasing decision with both contradictions

Gemini Argon output

Argon complete purchasing decision with both contradictions

Both calculated $25,600 before tax and recognised the CFO approval as satisfied. Procurement review and vendor vetting remained outstanding. Neither let the draft FAQ override signed rules or accepted urgency as a valid waiver for a new vendor. Astra answered in 150 words and Argon in 168.

Verdict A tie on the decision. Both applied the remaining requirements without requesting an unnecessary second CFO approval.

Published benchmarks provide broader context

Published results give each model leads beyond these four demonstrations. Higher scores are better in all six rows.

These combine developer evaluations, provider-reported results and official leaderboards, generally at the highest reasoning settings. Tools and execution conditions vary; the science evaluation gives Argon a longer verification timeout. They are published results, rather than replications performed for this article.

Which model should you try first

Argon's lower published API rates make it a sensible first trial when price or direct audio and video inputs matter. Both models completed the retained functional and image-reading checks, so this selection does not establish a broad engineering or reasoning winner.

Astra is worth a parallel trial when writing clarity or its published engineering results matter to your work. We preferred its story; the purchasing decision was an accuracy tie. Use a representative task with acceptance checks to determine whether the finished result justifies the price difference.

You can also take a look at the comparison between Argon and GPT-6.1 Sol to make the correct model choice.

Frequently Asked Questions

Which settings were used?

Astra High in Work, except the diagram in Codex; Argon High in the Gemini Windows app.

When does Argon's introductory API price end?

November 30, 2026. Standard input and output rates double on December 1.

Did one model win all four tests?

No. Both met the checked requirements; Astra's story was our editorial preference.

Do lower API rates guarantee cheaper finished work?

No. We did not measure cost per finished task, including tool charges or retries.