Интерфейс моделей ИИ

GPT-5.6 Terra (Global)

amazon-bedrock/global-openai-gpt-5-6-terra

От amazon-bedrock · семейство: gpt-terra · выпуск 2026-07-09 · дата знаний: 2026-02-16

⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.

$2.00
Вход / 1M токенов
$12.00
Выход / 1M токенов
1.05M
Окно контекста
128K
Макс. вывод

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Возможности

✓ Tool calling✓ Рассуждение✗ Структурированный вывод✓ Вложения✗ Открытые веса✗ Управление температурой
Модальности: вход text, image · выход text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding71
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output20
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency39
  • Headline price (log-scaled)34/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision91
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$16.00
$0.02 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$32.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$10.00
$0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$28.00
$0.03 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$31.20
$0.03 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от amazon-bedrock · global.openai.gpt-5.6-terra

$2.00
Вход
$12.00
Выход
$0.200
Чтение из кеша
$2.50
Запись в кеш
Выше 200K контекста
input $4 · output $18 · cache_read $0.4

Доступна у 1 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
Amazon Bedrock
amazon-bedrock
global.openai.gpt-5.6-terra$2.00$12.001.05M2026-07-09

Frequently asked questions

How much does GPT-5.6 Terra (Global) cost?

GPT-5.6 Terra (Global) costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, sourced from amazon-bedrock. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GPT-5.6 Terra (Global)?

GPT-5.6 Terra (Global) has a context window of 1.05M tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5.6 Terra (Global) support tool calling?

Yes. GPT-5.6 Terra (Global) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GPT-5.6 Terra (Global) support structured output / JSON mode?

No. GPT-5.6 Terra (Global) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can GPT-5.6 Terra (Global) accept image input?

Yes. GPT-5.6 Terra (Global) accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check amazon-bedrock's docs for the exact rule.

Is GPT-5.6 Terra (Global) open-weight?

No. GPT-5.6 Terra (Global) is a proprietary model — only amazon-bedrock (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-5.6 Terra (Global)?

If GPT-5.6 Terra (Global) doesn't fit, consider Palmyra X5 (US), Nova Lite (EU), Nova 2 Lite (EU). Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More amazon-bedrock models

Последнее обновление:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.