Model vs model
Gemini 4 Argon vs GPT-6 Astra
Gemini 4 Argon and GPT-6 Astra are both in llmwise. What each gets on every plan, what it reads, how it's served and what happens when its provider fails, from the catalog and the code that runs them.
Model prices and specs checked against OpenRouter's Gemini 4 Argon page, OpenRouter's GPT-6 Astra page. Updated .
Short answer
Gemini 4 Argon gets twice as many messages: up to 62 messages a month on Pro, against up to 31 messages a month for GPT-6 Astra. Beyond that, they read the same files and neither is easier to try. In our test runs, Gemini 4 Argon passed 47 of the 50 prompts both answered and GPT-6 Astra 48; one prompt split them, most on writing (4 to 5).
Gemini 4 Argon vs GPT-6 Astra, prompt by prompt
Every prompt Gemini 4 Argon and GPT-6 Astra both answered, compared directly, their biggest differences first. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.
Of the 50 prompts both answered, both passed 47, only Gemini 4 Argon passed 0, only GPT-6 Astra passed 1, and neither passed 2. Gemini 4 Argon answered sooner on 9 of the 50 and GPT-6 Astra on 35; the rest were within 10% of each other. The 50 replies cost $0.0788 on Gemini 4 Argon and $0.5847 on GPT-6 Astra: 7.4× less on Gemini 4 Argon.
The prompt only one of Gemini 4 Argon and GPT-6 Astra passed
Argue both sides of free buses (writing): GPT-6 Astra passed and Gemini 4 Argon didn't. Gemini 4 Argon: Graded 4.7 of 5 on average (lowest 4); but a paragraph of 91 words, over the 90 allowed. GPT-6 Astra: Graded 4.7 of 5 on average (lowest 4).
Job by job, the widest gaps first
Writing: Gemini 4 Argon passed 4 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 1.2× sooner at the median, 5.7 s against 4.8 s. Gemini 4 Argon cost 7.9× less, $0.0070 against $0.0556 for the 5 replies. Gemini 4 Argon's replies ran 30% longer, in tokens of reply, thinking not counted.
Translation: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. Gemini 4 Argon answered 1.2× sooner at the median, 3.2 s against 3.8 s. Gemini 4 Argon cost 10.1× less, $0.0062 against $0.0628 for the 5 replies. Their replies ran to about the same length.
Coding: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. Gemini 4 Argon answered 2.4× sooner at the median, 3.5 s against 8.2 s. Gemini 4 Argon cost 9.2× less, $0.0122 against $0.1117 for the 5 replies. Gemini 4 Argon's replies ran 55% longer, in tokens of reply, thinking not counted.
Summarization: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. Their median waits were close, 2.9 s against 2.9 s. Gemini 4 Argon cost 8.9× less, $0.0061 against $0.0546 for the 5 replies. Their replies ran to about the same length.
SQL: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 1.3× sooner at the median, 2.8 s against 2.2 s. Gemini 4 Argon cost 8.0× less, $0.0061 against $0.0491 for the 5 replies. Their replies ran to about the same length.
Customer support: Gemini 4 Argon passed 3 of 5 and GPT-6 Astra 3 of 5. GPT-6 Astra answered 1.3× sooner at the median, 5.0 s against 3.8 s. Gemini 4 Argon cost 7.4× less, $0.0078 against $0.0578 for the 5 replies. Gemini 4 Argon's replies ran 49% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 2.0× sooner at the median, 3.4 s against 1.7 s. Gemini 4 Argon cost 6.5× less, $0.0061 against $0.0394 for the 5 replies. Gemini 4 Argon's replies ran 106% longer, in tokens of reply, thinking not counted.
Agents and tool use: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 1.9× sooner at the median, 3.5 s against 1.9 s. Gemini 4 Argon cost 6.3× less, $0.0054 against $0.0340 for the 5 replies. Gemini 4 Argon's replies ran 30% longer, in tokens of reply, thinking not counted.
Math: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 1.7× sooner at the median, 4.4 s against 2.6 s. Gemini 4 Argon cost 5.5× less, $0.0077 against $0.0427 for the 5 replies. Gemini 4 Argon's replies ran 114% longer, in tokens of reply, thinking not counted.
Data analysis: Gemini 4 Argon passed 5 of 5 and GPT-6 Astra 5 of 5. GPT-6 Astra answered 2.1× sooner at the median, 6.9 s against 3.3 s. Gemini 4 Argon cost 5.4× less, $0.0142 against $0.0772 for the 5 replies. Gemini 4 Argon's replies ran 277% longer, in tokens of reply, thinking not counted.
All 50 prompts: who passed, who answered sooner, who cost less
| Prompt | Result | Sooner | Cheaper |
|---|---|---|---|
| Turn a title into a URL slug | Both passed | GPT-6 Astra, 1.4×took 2.9 s and 2.1 s | Gemini 4 Argon, 7.1×cost $0.0012 and $0.0084 |
| Parse a duration like “1h 30m” | Both passed | Gemini 4 Argon, 2.4×took 3.5 s and 8.2 s | Gemini 4 Argon, 13.2×cost $0.0018 and $0.0235 |
| Merge overlapping intervals | Both passed | GPT-6 Astra, 1.3×took 3.4 s and 2.6 s | Gemini 4 Argon, 6.4×cost $0.0017 and $0.0108 |
| Evaluate an arithmetic expression, no eval | Both passed | Gemini 4 Argon, 1.2×took 9.7 s and 12.0 s | Gemini 4 Argon, 7.5×cost $0.0050 and $0.0375 |
| Parse CSV with quoted fields | Both passed | Gemini 4 Argon, 1.8×took 5.0 s and 9.1 s | Gemini 4 Argon, 12.4×cost $0.0025 and $0.0314 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6 Astra, 1.2×took 5.7 s and 4.8 s | Gemini 4 Argon, 7.0×cost $0.0016 and $0.0111 |
| Rewrite corporate jargon in plain words | Both passed | Gemini 4 Argon, 1.4×took 4.1 s and 6.0 s | Gemini 4 Argon, 13.7×cost $0.0011 and $0.0145 |
| Decline a meeting and offer two times | Both passed | Closetook 3.6 s and 3.3 s | Gemini 4 Argon, 6.2×cost $0.0013 and $0.0079 |
| A product announcement with five rules | Both passed | GPT-6 Astra, 2.7×took 8.9 s and 3.3 s | Gemini 4 Argon, 6.3×cost $0.0013 and $0.0084 |
| Argue both sides of free buses | Only GPT-6 Astra | Closetook 7.0 s and 7.2 s | Gemini 4 Argon, 7.8×cost $0.0018 and $0.0137 |
| A discount, then sales tax | Both passed | GPT-6 Astra, 2.2×took 4.1 s and 1.9 s | Gemini 4 Argon, 5.1×cost $0.0012 and $0.0063 |
| Pens at 3 for $4 | Both passed | GPT-6 Astra, 1.9×took 4.4 s and 2.4 s | Gemini 4 Argon, 5.4×cost $0.0015 and $0.0082 |
| Compound interest over three years | Both passed | GPT-6 Astra, 1.6×took 4.2 s and 2.7 s | Gemini 4 Argon, 5.1×cost $0.0014 and $0.0072 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6 Astra, 1.2×took 4.5 s and 3.8 s | Gemini 4 Argon, 6.0×cost $0.0020 and $0.0122 |
| The highest of three dice is a 5 | Both passed | GPT-6 Astra, 1.9×took 4.9 s and 2.6 s | Gemini 4 Argon, 5.6×cost $0.0016 and $0.0088 |
| An article in three bullets | Both passed | Gemini 4 Argon, 1.8×took 2.8 s and 5.0 s | Gemini 4 Argon, 11.6×cost $0.0012 and $0.0143 |
| An email thread in one sentence | Both passed | GPT-6 Astra, 1.6×took 2.9 s and 1.9 s | Gemini 4 Argon, 7.4×cost $0.0010 and $0.0071 |
| Decisions and action items from a meeting | Both passed | Gemini 4 Argon, 1.1×took 2.9 s and 3.3 s | Gemini 4 Argon, 9.2×cost $0.0013 and $0.0123 |
| A quarterly memo for the CEO | Both passed | GPT-6 Astra, 1.2×took 3.5 s and 2.9 s | Gemini 4 Argon, 7.9×cost $0.0015 and $0.0118 |
| A study with a negative result | Both passed | GPT-6 Astra, 1.4×took 3.2 s and 2.3 s | Gemini 4 Argon, 8.1×cost $0.0011 and $0.0091 |
| The region with the most revenue | Both passed | GPT-6 Astra, 2.6×took 8.4 s and 3.3 s | Gemini 4 Argon, 6.5×cost $0.0021 and $0.0136 |
| Average order value in August | Both passed | GPT-6 Astra, 2.3×took 5.6 s and 2.5 s | Gemini 4 Argon, 3.8×cost $0.0027 and $0.0104 |
| Revenue change from July to August | Both passed | GPT-6 Astra, 1.8×took 6.5 s and 3.6 s | Gemini 4 Argon, 4.2×cost $0.0036 and $0.0150 |
| A median, filtered two ways | Both passed | GPT-6 Astra, 3.4×took 6.9 s and 2.0 s | Gemini 4 Argon, 5.4×cost $0.0017 and $0.0090 |
| Correlation between ad spend and sign-ups | Both passed | Closetook 8.4 s and 8.8 s | Gemini 4 Argon, 7.1×cost $0.0041 and $0.0294 |
| A late order | Neither passed | GPT-6 Astra, 1.2×took 5.0 s and 4.1 s | Gemini 4 Argon, 7.2×cost $0.0017 and $0.0123 |
| A return inside the window | Both passed | GPT-6 Astra, 1.6×took 3.7 s and 2.4 s | Gemini 4 Argon, 6.3×cost $0.0014 and $0.0087 |
| A frustrated customer | Neither passed | GPT-6 Astra, 1.5×took 5.8 s and 3.8 s | Gemini 4 Argon, 6.7×cost $0.0018 and $0.0120 |
| A refund request outside the window | Both passed | GPT-6 Astra, 3.0×took 14.9 s and 5.0 s | Gemini 4 Argon, 9.6×cost $0.0014 and $0.0137 |
| A message with a planted instruction | Both passed | GPT-6 Astra, 1.7×took 4.5 s and 2.7 s | Gemini 4 Argon, 7.6×cost $0.0015 and $0.0112 |
| A delivery message into Spanish | Both passed | Gemini 4 Argon, 1.2×took 3.2 s and 3.8 s | Gemini 4 Argon, 9.1×cost $0.0013 and $0.0116 |
| A product description into French | Both passed | Closetook 2.4 s and 2.5 s | Gemini 4 Argon, 7.7×cost $0.0012 and $0.0093 |
| A meeting note into German | Both passed | GPT-6 Astra, 1.1×took 6.8 s and 6.1 s | Gemini 4 Argon, 15.7×cost $0.0012 and $0.0180 |
| Idioms into natural Japanese | Both passed | Closetook 3.2 s and 3.2 s | Gemini 4 Argon, 9.1×cost $0.0011 and $0.0100 |
| A lease clause into Brazilian Portuguese | Both passed | GPT-6 Astra, 1.2×took 6.1 s and 5.3 s | Gemini 4 Argon, 9.6×cost $0.0015 and $0.0139 |
| Customers in one country | Both passed | GPT-6 Astra, 1.3×took 2.0 s and 1.5 s | Gemini 4 Argon, 6.9×cost $0.0009 and $0.0061 |
| Count orders by status | Both passed | GPT-6 Astra, 1.5×took 2.1 s and 1.4 s | Gemini 4 Argon, 6.9×cost $0.0008 and $0.0058 |
| Revenue by category | Both passed | GPT-6 Astra, 2.3×took 5.1 s and 2.2 s | Gemini 4 Argon, 7.3×cost $0.0012 and $0.0091 |
| Every customer, even those without orders | Both passed | Closetook 2.8 s and 2.9 s | Gemini 4 Argon, 7.2×cost $0.0013 and $0.0091 |
| Monthly revenue with a running total | Both passed | Gemini 4 Argon, 1.6×took 3.5 s and 5.8 s | Gemini 4 Argon, 10.2×cost $0.0019 and $0.0190 |
| A fact from one section | Both passed | GPT-6 Astra, 2.6×took 3.4 s and 1.3 s | Gemini 4 Argon, 7.1×cost $0.0010 and $0.0073 |
| Core hours and start times | Both passed | GPT-6 Astra, 1.8×took 4.3 s and 2.4 s | Gemini 4 Argon, 7.2×cost $0.0011 and $0.0080 |
| Two sections in one answer | Both passed | GPT-6 Astra, 1.5×took 2.5 s and 1.7 s | Gemini 4 Argon, 7.6×cost $0.0011 and $0.0082 |
| A later amendment changes the answer | Both passed | GPT-6 Astra, 2.8×took 5.7 s and 2.1 s | Gemini 4 Argon, 4.5×cost $0.0019 and $0.0086 |
| A question the handbook doesn't answer | Both passed | GPT-6 Astra, 1.3×took 1.9 s and 1.4 s | Gemini 4 Argon, 7.5×cost $0.0010 and $0.0073 |
| Pick the tool and work out the date | Both passed | GPT-6 Astra, 3.8×took 5.4 s and 1.4 s | Gemini 4 Argon, 6.6×cost $0.0009 and $0.0060 |
| Convert a currency | Both passed | Gemini 4 Argon, 1.1×took 2.6 s and 2.9 s | Gemini 4 Argon, 6.5×cost $0.0009 and $0.0059 |
| Book a meeting from a sentence | Both passed | GPT-6 Astra, 2.6×took 4.9 s and 1.9 s | Gemini 4 Argon, 6.9×cost $0.0011 and $0.0077 |
| Search, but don't book | Both passed | GPT-6 Astra, 2.1×took 3.2 s and 1.5 s | Gemini 4 Argon, 6.8×cost $0.0010 and $0.0069 |
| Two calls with a unit conversion | Both passed | GPT-6 Astra, 1.5×took 3.5 s and 2.3 s | Gemini 4 Argon, 5.1×cost $0.0014 and $0.0074 |
Gemini 4 Argon vs GPT-6 Astra in our test runs
Gemini 4 Argon and GPT-6 Astra on the same prompts, job by job: how many replies passed their check.
Based on 100 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .
| Job | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 of 5 | 5 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 3 of 5 | 3 of 5 |
| Translation | 5 of 5 | 5 of 5 |
| SQL | 5 of 5 | 5 of 5 |
| RAG and answering from documents | 5 of 5 | 5 of 5 |
| Agents and tool use | 5 of 5 | 5 of 5 |
| All jobs | 47 of 50 · 1 message each · $0.0016 a reply | 48 of 50 · 1 message each · $0.0117 a reply |
The same prompts, sent to both through llmwise's own pipeline and checked the same way: five for each job. A bold count is the one that passed more. Messages: what each reply counted as on Pro. Cost: what OpenRouter charged us per reply, on average. Every prompt, and how it's scored.
Where they differed most, writing: both replies to a prompt only one of them passed.
A hard prompt: “Argue both sides of free buses”, in full.
Gemini 4 Argon
Failed: Graded 4.7 of 5 on average (lowest 4); but a paragraph of 91 words, over the 90 allowed.
Making city buses free transforms public transit from a business into an essential civic lifeline, like libraries or sidewalks. Eliminating fares delivers an immediate raise to working-class families, unlocking access to distant jobs, schools, and clinics. Operationally, it speeds up every route by removing boarding delays, while ending the costly infrastructure of fare collection and enforcement. By lowering the barrier to entry, cities can pull drivers out of cars, easing crippling traffic and slashing emissions. Free transit is a bold, practical investment in economic mobility, cleaner air, and a fairer city. However, eliminating fares starves transit systems of the very revenue needed to make buses worth riding. Riders consistently prioritize frequency, reliability, and coverage over price; a free bus that arrives late, overcrowded, or not at all helps no one. Furthermore, studies show free transit mostly replaces walking and biking rather than driving, doing little for congestion while straining capacity. Instead of subsidizing affluent commuters who can afford to pay, cities should offer targeted discounts to low-income riders and invest every remaining dollar into faster, more reliable service that truly competes with cars.
628 tokens in, 226 out · 7.0 s · $0.0018 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio ·
GPT-6 Astra
Passed: Graded 4.7 of 5 on average (lowest 4).
A city should make its buses free because mobility is a gateway to work, education, and healthcare—not a privilege reserved for those who can afford each trip. Eliminating fares delivers immediate relief to low-income households, speeds boarding, and removes costly fare enforcement. Funded through progressive taxation, free buses spread the cost fairly while making public transport an easier choice. A city already pays for streets everyone can use; it should support shared travel that uses those streets more efficiently. But a free bus that arrives late—or never comes—is no bargain. Cities should spend scarce transit funding on frequent, reliable service before subsidizing every rider, including those who can comfortably pay. Lost fare revenue must come from higher taxes, other public services, or the transit budget itself. Targeted discounts can protect people who need help without sacrificing coverage and capacity. To persuade drivers to switch, buses must compete on convenience and reliability, not merely price; better service may deliver greater social and environmental benefits.
384 tokens in, 197 out · 7.2 s · $0.0137 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·
Gemini 4 Argon and GPT-6 Astra on every plan
Whether the one-time free trial reaches each model, then each paid plan's messages on it.
| Plan | Price | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | Up to 31 a month | Not on Plus |
| Pro | $20 a month | Up to 62 a month | Up to 31 a month |
| Max | $50 a month | Up to 200 a month | Up to 100 a month |
| Ultra | $100 a month | Up to 450 a month | Up to 225 a month |
| Studio | $200 a month | Up to 1,000 a month | Up to 500 a month |
Prices don't include tax, which is added where it applies and shown before you pay. A paid plan's month is one allowance shared by every model, so each monthly count is the most you get if all of it goes to that model. It renews each billing period; everyday models refill daily at 00:00 UTC. Long chats count more per reply. How pricing works.
Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Plus $3.75, Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.
What differs
Messages on Pro
Gemini 4 Argon gets twice as many messages: up to 62 messages a month on Pro, against up to 31 messages a month for GPT-6 Astra.
Context window
Both take up to 1.05M tokens of context. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Images and PDFs
Both read images. Both take a PDF as the whole file, pages and all.
On Free
Neither is in the free trial: Gemini 4 Argon needs a paid plan and GPT-6 Astra needs Pro or a higher plan.
Where messages go
Gemini 4 Argon: Sent to Google directly. GPT-6 Astra: Sent to OpenAI directly.
Fact by fact
| Fact | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | Yes |
| API price (October 2026) | $4.00 in / $20.00 out per million tokens | $10.00 in / $50.00 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0300 | $0.0750 |
| A $10 top-up adds | 50 messages | 25 messages |
| Where a message goes | Sent to Google directly. | Sent to OpenAI directly. |
| If the provider fails | If Google fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to Gemini 4 Argon through OpenRouter instead. | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6 Astra through OpenRouter instead. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
Gemini 4 Argon or GPT-6 Astra?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick Gemini 4 Argon: more messages for the money, up to 62 messages a month on Pro.
Each model's page, the families, and other pairs
Gemini 4 Argon vs GPT-6 Astra is one pair of models. The page below covers the whole families.
- Gemini 4 Argon: price, limits and messages on every plan
- GPT-6 Astra: price, limits and messages on every plan
- ChatGPT vs Gemini
- Gemini 4 Argon vs Claude Opus 5.5
- Gemini 4 Argon vs Gemini 3.1 Pro (preview)
- Gemini 4 Argon vs GPT-6.1 Sol
- Claude Fable 5.1 vs GPT-6 Astra
- GPT-6 Astra vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-6 Astra
- Every model-vs-model page
Gemini 4 Argon is a Gemini model; GPT-6 Astra is a GPT model.
Questions
Is Gemini 4 Argon or GPT-6 Astra cheaper in llmwise?
Gemini 4 Argon gets twice as many messages: up to 62 messages a month on Pro, against up to 31 messages a month for GPT-6 Astra. Every paid plan's monthly allowance is shared by the models on it, so each count is the most you get if it all goes to that model.
Can I try Gemini 4 Argon and GPT-6 Astra for free?
Neither is in the free trial of 5 messages: Gemini 4 Argon needs a paid plan and GPT-6 Astra needs Pro or a higher plan.
Which has the bigger context window, Gemini 4 Argon or GPT-6 Astra?
Neither: both take 1.05M tokens. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Can I use Gemini 4 Argon and GPT-6 Astra in the same chat?
Yes. Pick Gemini 4 Argon for one message and GPT-6 Astra for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, Gemini 4 Argon or GPT-6 Astra?
On the same 50 prompts, run on October 15, 2026, Gemini 4 Argon passed 47 and GPT-6 Astra passed 48. The table on this page has each job, and every reply is published.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM, and Mistral, in one chat.
See what a message costs before you send it. Free is 5 messages to try; sign in with an email link, no password or card.