Gemini 4 Argon vs GPT-6 Astra Pro
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 24, 2026· 223 models
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- ▲$2.00
- Output, $ per 1M tokens
- ▲$10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- ▲10/13/2026
- Knowledge cutoff
- 2026-03
- API id
- google/gemini-4-argon
GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $10.00
- Output, $ per 1M tokens
- $50.00
- Cache read, $ per 1M
- $1.000
- Batch (input / output)
- $5.00 / $25.00
- Tool calling
- Yes
- Released
- 09/04/2026
- Knowledge cutoff
- —
- API id
- openai/gpt-6-astra-pro
Which is the better API choice: Gemini 4 Argon vs GPT-6 Astra Pro?
- Gemini 4 Argon: cheapest input (80% less than GPT-6 Astra Pro)
- Gemini 4 Argon: cheapest output
- GPT-6 Astra Pro: largest context (1.1 M)
- Gemini 4 Argon: the newest (10/13/2026)
- GPT-6 Astra Pro: most reasoning (estimated)
- Gemini 4 Argon: the fastest (estimated)
Gemini 4 Argon costs 80% less on input and 80% less on output than GPT-6 Astra Pro ($2.00 / $10.00 versus $10.00 / $50.00 per million tokens). GPT-6 Astra Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-6 Astra Pro offer a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Gemini 4 Argon you save $280.00 a month versus GPT-6 Astra Pro (80% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.20
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Gemma 4 26B A4B Google$1.91
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Gemini 4 Argon Google$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7GPT-6 Astra Pro OpenAI$0.760
- 8Claude Fable 5.1 Anthropic$0.760
Popular comparisons
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- Gemini 4 Argon vs DeepSeek V4.1 Flash 1017
- Gemini 4 Argon vs Grok 4.7
- DeepSeek V4.1 Flash 1017 vs Grok 4.7
Frequently asked questions
Which is the better API choice: Gemini 4 Argon vs GPT-6 Astra Pro?
Gemini 4 Argon costs 80% less on input and 80% less on output than GPT-6 Astra Pro ($2.00 / $10.00 versus $10.00 / $50.00 per million tokens). GPT-6 Astra Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-6 Astra Pro offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 4 Argon and GPT-6 Astra Pro?
Gemini 4 Argon is cheaper: $2.00 per million input tokens and $10.00 per million output tokens, versus $10.00 / $50.00 for GPT-6 Astra Pro.
Which has more context: Gemini 4 Argon and GPT-6 Astra Pro?
GPT-6 Astra Pro accepts 1.1 M tokens of context; Gemini 4 Argon accepts 1 M.
Which is newer: Gemini 4 Argon and GPT-6 Astra Pro?
Gemini 4 Argon was released on 10/13/2026; GPT-6 Astra Pro on 09/04/2026.
What would 10,000 requests a month cost with Gemini 4 Argon and GPT-6 Astra Pro?
With 1,500 input and 400 output tokens per request: Gemini 4 Argon: $70.00; GPT-6 Astra Pro: $350.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.