GPT-5.6 Terra Pro vs GPT-5 Image Mini
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, 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
- ▲$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-pro
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 400 K tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $2.50
- Output, $ per 1M tokens
- ▲$2.00
- Cache read, $ per 1M
- $0.250
- Batch (input / output)
- —
- Tool calling
- No
- Released
- 10/16/2025
- Knowledge cutoff
- —
- API id
- openai/gpt-5-image-mini
Which is the better API choice: GPT-5.6 Terra Pro vs GPT-5 Image Mini?
- GPT-5.6 Terra Pro: cheapest input (20% less than GPT-5 Image Mini)
- GPT-5 Image Mini: cheapest output
- GPT-5.6 Terra Pro: largest context (1.1 M)
- GPT-5.6 Terra Pro: the newest (07/09/2026)
- GPT-5.6 Terra Pro: most reasoning (estimated)
- GPT-5 Image Mini: the fastest (estimated)
Pricing is split: GPT-5.6 Terra Pro wins on input and GPT-5 Image Mini wins on output. GPT-5.6 Terra Pro accepts more context (1.1 M). GPT-5.6 Terra Pro offers 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 Image Mini you save $32.50 a month versus GPT-5.6 Terra Pro (42% less).
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- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
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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)
- 1GPT-5.6 Terra Pro OpenAI$0.152
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4GPT-5 Image Mini OpenAI$0.190
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: GPT-5.6 Terra Pro vs GPT-5 Image Mini?
Pricing is split: GPT-5.6 Terra Pro wins on input and GPT-5 Image Mini wins on output. GPT-5.6 Terra Pro accepts more context (1.1 M). GPT-5.6 Terra Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-5.6 Terra Pro and GPT-5 Image Mini?
GPT-5.6 Terra Pro is cheaper: $2.00 per million input tokens and $12.00 per million output tokens, versus $2.50 / $2.00 for GPT-5 Image Mini.
Which has more context: GPT-5.6 Terra Pro and GPT-5 Image Mini?
GPT-5.6 Terra Pro accepts 1.1 M tokens of context; GPT-5 Image Mini accepts 400 K.
Which is newer: GPT-5.6 Terra Pro and GPT-5 Image Mini?
GPT-5.6 Terra Pro was released on 07/09/2026; GPT-5 Image Mini on 10/16/2025.
What would 10,000 requests a month cost with GPT-5.6 Terra Pro and GPT-5 Image Mini?
With 1,500 input and 400 output tokens per request: GPT-5.6 Terra Pro: $78.00; GPT-5 Image Mini: $45.50 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.