Gemini 4 Argon vs GPT-5.6 Terra

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on October 25, 2026· 223 models

Google4 Argon

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.

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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
OpenAIGPT-5.6 Terra

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1.1 M tokens
Max output
128 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
$12.00
Cache read, $ per 1M
$0.200
Batch (input / output)
$1.00 / $6.00
Tool calling
Yes
Released
07/09/2026
Knowledge cutoff
2026-02-16
API id
openai/gpt-5.6-terra
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Gemini 4 Argon vs GPT-5.6 Terra?

  • Gemini 4 Argon: cheapest output
  • GPT-5.6 Terra: largest context (1.1 M)
  • Gemini 4 Argon: the newest (10/13/2026)
  • GPT-5.6 Terra: most reasoning (estimated)
  • Gemini 4 Argon: the fastest (estimated)

Gemini 4 Argon costs 0% less on input and 17% less on output than GPT-5.6 Terra ($2.00 / $10.00 versus $2.00 / $12.00 per million tokens). GPT-5.6 Terra accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-5.6 Terra 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.

Gemini 4 Argon
$70.00/mo
GPT-5.6 Terra
$78.00/mo

With Gemini 4 Argon you save $8.00 a month versus GPT-5.6 Terra (10% less).

The 6 cheapest for this scenario (chat, last 12 months)

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  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.31
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 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.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Claude Haiku 5.5 Anthropic$0.008
  2. 2Gemini 4 Argon Google$0.152
  3. 3GPT-5.6 Terra OpenAI$0.152
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Sonnet 5 Anthropic$0.152
  6. 6Claude Opus 5.5 Anthropic$0.304
  7. 7Claude Opus 5 Anthropic$0.380
  8. 8Claude Fable 5.1 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: Gemini 4 Argon vs GPT-5.6 Terra?

Gemini 4 Argon costs 0% less on input and 17% less on output than GPT-5.6 Terra ($2.00 / $10.00 versus $2.00 / $12.00 per million tokens). GPT-5.6 Terra accepts more context (1.1 M). On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon and GPT-5.6 Terra 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 Terra?

Gemini 4 Argon is cheaper: $2.00 per million input tokens and $10.00 per million output tokens, versus $2.00 / $12.00 for GPT-5.6 Terra.

Which has more context: Gemini 4 Argon and GPT-5.6 Terra?

GPT-5.6 Terra accepts 1.1 M tokens of context; Gemini 4 Argon accepts 1 M.

Which is newer: Gemini 4 Argon and GPT-5.6 Terra?

Gemini 4 Argon was released on 10/13/2026; GPT-5.6 Terra on 07/09/2026.

What would 10,000 requests a month cost with Gemini 4 Argon and GPT-5.6 Terra?

With 1,500 input and 400 output tokens per request: Gemini 4 Argon: $70.00; GPT-5.6 Terra: $78.00 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.