LLMAnonymized

GPT-5.6 Terra Pro

OpenAI's balanced multimodal workhorse with 1,000K context, reasoning, and tool use for production workflows.

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Provider
OpenAI
Price
$3.13 in · $18.75 out / 1M
Context window
1M tokens
Released
July 9, 2026
License
Proprietary

What is GPT-5.6 Terra Pro?

GPT-5.6 Terra Pro is OpenAI's balanced, high-performance language model from the July 2026 GPT-5.6 family. It supports vision, reasoning, tool use, and web search across a 1,000K context window, offering strong efficiency and extended Pro-tier capabilities for demanding production workflows.

Use it privately on Venice

On Venice, GPT-5.6 Terra Pro runs under an anonymized privacy tier with zero retention — your prompts are not stored, profiled, or used for training. You retain full data sovereignty while accessing its vision, reasoning, web search, and tool-use capabilities, including structured JSON output and multi-image inputs, without linking your work to a Big-Tech account history.

Anonymized
No prompt training
TEE · hardware enclave
End-to-end encrypted

What can it do?

Strengths
  • Balanced frontier efficiencyOpenAI positions Terra as competitive with GPT-5.5 at roughly half the cost, and Terra Pro is the extended-tier variant for demanding production workloads.
  • Massive context scale1,000K token window and up to 128K output support deep document analysis, long-form generation, and large codebases.
  • Multimodal agentic toolkitnative vision, multiple image inputs, reasoning, web search, tool use, and structured JSON output for complex automation.
  • Privacy by default on Veniceruns under an anonymized tier with zero prompt retention, so inputs are not stored or used for training.
Limitations
  • Closed and proprietaryweights are not open-source, so self-hosting, auditing, or fine-tuning are impossible.
  • Premium token pricingat $3.13 in and $18.75 out per 1M tokens, it is far more expensive than open-weight rivals such as DeepSeek V3.2 or Kimi K2.6.
  • Not uncensoredit carries OpenAI's safety stack and refusal patterns, which can block sensitive cybersecurity or policy-adjacent requests.
  • No hardware-grade privacy on Venicethe model runs under anonymized inference, not inside a TEE or with end-to-end encryption.

GPT-5.6 Terra Pro capabilities

How to use it via API

Venice exposes an OpenAI-compatible API. Swap your base URL and call openai-gpt-56-terra-pro.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-gpt-56-terra-pro",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'

Specifications

MakerOpenAI
ReleasedJuly 2026
Open weightsNo — proprietary
Context window1,000K tokens
Max output128K tokens
CapabilitiesVision, Function calling, Reasoning, Web search
Privacy on VeniceAnonymized — prompts not stored
Available on Venice sinceJul 2026

Pricing

Billed per token on Venice: $3.13 per 1M input tokens and $18.75 per 1M output tokens.

Input / 1M tokens
$3.13
Output / 1M tokens
$18.75
Cached input / 1M
$0.31

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

GPT-5.6 Terra Pro vs alternatives

ModelContext windowPrice (Venice)Open weightsBest for
GPT-5.6 Terra Pro1M tokens$3.13 in · $18.75 out / 1MNoBalanced frontier workflows
Claude Opus 4.81M tokens$6 in · $30 out / 1MNoMaximum reasoning power
Claude Sonnet 4.61M tokens$3.60 in · $18 out / 1MNoEfficient high-volume tasks
DeepSeek V3.2160K tokens$0.33 in · $0.48 out / 1MYesOpen-weight coding & chat

The balanced Pro-tier workhorse: 1,000K context, vision, reasoning, and tool use at a lower per-token cost than OpenAI's flagship Sol.

What is it good for?

  • Long-document analysis and legal review across 1,000K context windows.
  • Multimodal agentic workflows combining vision, web search, and tool calling.
  • High-volume software development and code review with structured output.
  • Enterprise knowledge work where balanced performance per dollar matters more than absolute flagship power.

Prompting tips

  • Use explicit prompt caching for reusable prefixes to minimize input costs — Venice passes through OpenAI's cached input rate of $0.31 per 1M tokens.
  • For complex tasks, leverage the model's reasoning and tool-use capabilities rather than breaking problems into multiple turns.
  • Upload multiple images in a single prompt when analyzing visual data; the model accepts several image inputs concurrently.
  • Specify structured JSON schemas upfront for data-extraction tasks to get consistent, parseable outputs.

Version history

GPT-5.6 family
2026-07-09

Launch of Sol, Terra, and Luna.

GPT-5.6 Terra Pro
2026-07

CurrentCurrent extended-tier balanced model.

Frequently asked questions

OpenAI's balanced, high-performance model from the GPT-5.6 family, launched in July 2026. It supports vision, reasoning, tool use, and web search, with a 1,000K context window and extended Pro-tier capabilities for production workloads.

$3.13 per 1M input tokens and $18.75 per 1M output tokens. Cached inputs cost $0.31 per 1M tokens. You pay per token in Venice credits with no subscription required.

No. It is a proprietary closed model from OpenAI. You cannot self-host or fine-tune the weights. For open-weight alternatives, try DeepSeek V3.2 or Kimi K2.6 on Venice.

Yes. It supports function calling, structured JSON output, multiple image inputs, reasoning, and web search — making it suitable for agentic and multimodal workflows.

Terra Pro offers a larger 1,000K context window and native web search, while Sonnet 4.6 is similarly priced and also closed. Terra Pro is stronger for long-document analysis and agentic tool use; Sonnet 4.6 may appeal to users already invested in the Anthropic ecosystem.

You can try it on Venice with free credits included when you sign up. Ongoing use is billed per token in credits, with no mandatory subscription.

No. Venice runs it under an anonymized privacy tier — prompts are not stored, profiled, or used for training. Your conversation history is not linked to your personal identity.

Sol is OpenAI's flagship with maximum reasoning power; Terra Pro is the balanced, extended-tier variant designed for high-volume production work at a lower per-token cost, though still priced above smaller open-weight rivals.

Related models

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