Gemini 4 Argon vs GPT-5.6 Luna Pro
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 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-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, 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
- ▲$0.200
- Output, $ per 1M tokens
- ▲$1.20
- Cache read, $ per 1M
- $0.020
- Batch (input / output)
- $0.100 / $0.600
- Tool calling
- Yes
- Released
- 07/09/2026
- Knowledge cutoff
- 2026-02-16
- API id
- openai/gpt-5.6-luna-pro
Which is the better API choice: Gemini 4 Argon vs GPT-5.6 Luna Pro?
- GPT-5.6 Luna Pro: cheapest input (90% less than Gemini 4 Argon)
- GPT-5.6 Luna Pro: cheapest output
- GPT-5.6 Luna Pro: largest context (1.1 M)
- Gemini 4 Argon: the newest (10/13/2026)
- GPT-5.6 Luna Pro: most reasoning (estimated)
GPT-5.6 Luna Pro costs 90% less on input and 88% less on output than Gemini 4 Argon ($0.200 / $1.20 versus $2.00 / $10.00 per million tokens). GPT-5.6 Luna Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-5.6 Luna 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 GPT-5.6 Luna Pro you save $62.20 a month versus Gemini 4 Argon (89% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 2Lyria 3 Pro Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4Qwen3.5-9B Qwen$1.72
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
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
- 2GPT-5.6 Luna Pro OpenAI$0.015
- 3Gemini 4 Argon Google$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Sonnet 5 Anthropic$0.152
- 6Claude Opus 5.5 Anthropic$0.304
- 7Claude Opus 5 Anthropic$0.380
- 8Claude Fable 5.1 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Gemini 4 Argon vs GPT-5.6 Luna Pro?
GPT-5.6 Luna Pro costs 90% less on input and 88% less on output than Gemini 4 Argon ($0.200 / $1.20 versus $2.00 / $10.00 per million tokens). GPT-5.6 Luna Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-5.6 Luna 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-5.6 Luna Pro?
GPT-5.6 Luna Pro is cheaper: $0.200 per million input tokens and $1.20 per million output tokens, versus $2.00 / $10.00 for Gemini 4 Argon.
Which has more context: Gemini 4 Argon and GPT-5.6 Luna Pro?
GPT-5.6 Luna Pro accepts 1.1 M tokens of context; Gemini 4 Argon accepts 1 M.
Which is newer: Gemini 4 Argon and GPT-5.6 Luna Pro?
Gemini 4 Argon was released on 10/13/2026; GPT-5.6 Luna Pro on 07/09/2026.
What would 10,000 requests a month cost with Gemini 4 Argon and GPT-5.6 Luna Pro?
With 1,500 input and 400 output tokens per request: Gemini 4 Argon: $70.00; GPT-5.6 Luna Pro: $7.80 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.