model releaseOpenAI

OpenAI Releases GPT-5.6 Terra Pro with Enhanced Reasoning Mode at $2.50/$15 Per Million Tokens

TL;DR

OpenAI has released GPT-5.6 Terra Pro, a variant of GPT-5.6 Terra configured with enhanced reasoning capabilities for complex tasks. The model features a 1 million token context window and is priced at $2.50 per million input tokens and $15 per million output tokens.

2 min read
0

GPT-5.6 Terra Pro — Quick Specs

Context window1000K tokens
Input$2.5/1M tokens
Output$15/1M tokens

OpenAI Releases GPT-5.6 Terra Pro with Enhanced Reasoning Mode

OpenAI has released GPT-5.6 Terra Pro, a reasoning-optimized variant of its GPT-5.6 Terra model. The new model is configured with reasoning mode set to "pro" for higher-quality responses on complex tasks, according to the model documentation on OpenRouter.

Technical Specifications

GPT-5.6 Terra Pro shares the same underlying architecture as GPT-5.6 Terra but operates with enhanced reasoning capabilities:

  • Context window: 1 million tokens
  • Input pricing: $2.50 per million tokens
  • Output pricing: $15 per million tokens
  • Knowledge cutoff: February 2026
  • Release date: July 9, 2026

The model supports multimodal inputs and outputs, processing both text and other modalities.

Reasoning Mode Configuration

The primary differentiator between GPT-5.6 Terra Pro and the standard GPT-5.6 Terra model is the pre-configured "pro" reasoning mode. This configuration is designed to provide more thorough analysis on complex tasks, though OpenAI has not disclosed specific benchmarks comparing the pro mode to standard reasoning performance.

The pricing structure reflects the computational overhead of enhanced reasoning: output tokens cost 6x more than input tokens ($15 vs $2.50 per million), a higher ratio than typical language models.

Availability

The model is currently available through OpenRouter, which forwards requests directly to OpenAI's infrastructure. OpenRouter's monitoring data shows the model is available through a single provider, with prompt caching capabilities that can reduce effective costs by 60-80% for repeated context.

What This Means

GPT-5.6 Terra Pro represents OpenAI's approach to offering reasoning-optimized models as separate SKUs rather than runtime parameters. The 1M context window positions it for long-document analysis and complex reasoning tasks requiring extensive context. However, the $15 per million output token pricing makes it one of the more expensive options for high-volume applications. Without published benchmarks, it remains unclear how the pro reasoning mode quantitatively improves over standard configurations on tasks like mathematics, coding, or multi-step reasoning.

Related Articles

model release

OpenAI Releases GPT-5.6 Luna Pro with Extended Reasoning Mode at $1/$6 Per Million Tokens

OpenAI has released GPT-5.6 Luna Pro, a reasoning-enhanced variant of GPT-5.6 Luna with a 1 million token context window. The model is priced at $1 per million input tokens and $6 per million output tokens, with a knowledge cutoff date of February 2026.

model release

OpenAI Releases GPT-5.6 Sol Pro with Extended Reasoning Mode at $5 Input/$30 Output per 1M Tokens

OpenAI has released GPT-5.6 Sol Pro, a reasoning-enhanced variant of GPT-5.6 Sol designed for complex tasks. The model features a 1 million token context window, February 2026 knowledge cutoff, and is priced at $5 per 1M input tokens and $30 per 1M output tokens.

model release

OpenAI Releases GPT-5.6 Terra: Mid-Tier Model at $2.50 Input/$15 Output per 1M Tokens

OpenAI has released GPT-5.6 Terra, a mid-tier model in its GPT-5.6 series priced at $2.50 per million input tokens and $15 per million output tokens. The model features a 1 million token context window and February 2026 knowledge cutoff, positioned between the flagship Sol and cost-efficient Luna tiers.

model release

OpenAI Releases GPT-5.6 Luna: $1/$6 Per 1M Tokens With 1M Context Window

OpenAI has released GPT-5.6 Luna, a fast and cost-efficient model in its GPT-5.6 series. The model features a 1 million token context window and is priced at $1 per 1M input tokens and $6 per 1M output tokens, with a knowledge cutoff of February 2026.

Comments

Loading...