GPT-5.6 Terra API Pricing: OpenAI's Mid-Tier Model at $2/M Input

GPT-5.6 Terra replaces GPT-5 mini and o4-mini with 1.05M context at $2/M input, $12/M output — the sweet spot between cost and capability in OpenAI's lineup.

Updated Aug 23, 2026 · 95 models tracked across 11 providers

TL;DR

Migration Notice: GPT-5 mini shuts down Dec 11, 2026 and o4-mini shuts down Oct 23, 2026. GPT-5.6 Terra is the recommended replacement for both — offering 3.8x more context than GPT-5 mini and 5.25x more than o4-mini at a comparable price point.

GPT-5.6 Terra Pricing Breakdown

At $2.00 per million input tokens and $12.00 per million output tokens, Terra sits between Sol ($4/$20) and Luna ($0.20/$1.20). Here's how the costs scale:

Monthly Volume Input Cost Output Cost Total Cost
1M tokens$2.00$12.00$14.00
10M tokens$20.00$120.00$140.00
100M tokens$200.00$1,200.00$1,400.00
1B tokens$2,000.00$12,000.00$14,000.00

At 100M tokens/month, GPT-5.6 Terra costs $1,400. The same volume on GPT-5.6 Sol would cost $2,750, and on GPT-5.6 Luna it would cost $140.

GPT-5.6 Family: Sol vs Terra vs Luna

The GPT-5.6 family shares the same 1.05M context window but differs in capability and cost:

Model Input $/M Output $/M Context Best For
GPT-5.6 Sol $4.00 $20.00 1.05M Flagship reasoning, research, nuanced writing
GPT-5.6 Terra $2.00 $12.00 1.05M Complex analysis, coding, agentic workflows
GPT-5.6 Luna $0.20 $1.20 1.05M Volume tasks, RAG, bulk processing

Terra is 50% cheaper than Sol on both input and output, while offering the same context window. For most production workloads that need strong reasoning but not absolute top-tier capability, Terra is the best value in the family.

How GPT-5.6 Terra Compares to Other Mid-Tier Models

Model Input $/M Output $/M Context Vision Provider
Claude Sonnet 5 $2.00 $10.00 1M Anthropic
GPT-5.6 Terra $2.00 $12.00 1.05M OpenAI
GPT-5.4 $2.50 $15.00 272K OpenAI
Grok 4.5 $2.00 $6.00 1M xAI
Mistral Medium 3.5 $1.50 $7.50 128K Mistral
DeepSeek V4 Pro $0.66 $1.98 1M DeepSeek

Terra matches Claude Sonnet 5 on input pricing and offers a slightly larger context window (1.05M vs 1M). Grok 4.5 is cheaper on output, but Terra has stronger ecosystem integration with OpenAI's function calling, structured outputs, and tooling.

Migrating to GPT-5.6 Terra

If you're currently using GPT-5 mini or o4-mini, here's what changes when you migrate:

FeatureGPT-5 minio4-miniGPT-5.6 Terra
Input price$0.25/M$1.10/M$2.00/M
Output price$2.00/M$4.40/M$12.00/M
Context window272K200K1.05M
Shutdown dateDec 11, 2026Oct 23, 2026Active
ReasoningStandardChain-of-thoughtAdaptive thinking
Vision

Key trade-off: Terra is more expensive per token than both GPT-5 mini and o4-mini, but offers 3.8x–5.25x more context and improved reasoning with adaptive thinking. If you were using o4-mini for chain-of-thought reasoning, Terra's adaptive thinking provides similar capabilities.

When to Use GPT-5.6 Terra

💻 Complex Coding

Multi-file refactoring, architecture decisions, and code review. Terra's reasoning handles complex dependencies better than Luna.

🤖 Agentic Workflows

Multi-step tool-calling agents that need strong reasoning at each step. Terra balances cost and capability for production agents.

📊 Data Analysis

Complex data interpretation, statistical analysis, and report generation. Terra handles nuanced analysis that Luna struggles with.

📝 Content Generation

Technical writing, documentation, and marketing copy that needs accuracy and nuance. Better quality than Luna at 10x the cost.

🔍 Research Tasks

Literature review, fact-checking, and synthesis across large document sets. 1.05M context fits most research corpora.

🧪 Prototyping

Building and testing AI features before optimizing for cost. Start with Terra, then move stable workloads to Luna for savings.

Real-World Cost: 10,000 Agentic Coding Tasks/Month

Suppose you're running an AI coding assistant that handles 10,000 tasks per month, averaging 8,000 input tokens and 2,000 output tokens per task:

ModelInput CostOutput CostMonthly Total
GPT-5.6 Luna$16.00$24.00$40.00
GPT-5.6 Terra$160.00$240.00$400.00
Claude Sonnet 5$160.00$200.00$360.00
GPT-5.6 Sol$320.00$400.00$720.00

Terra handles the workload for $400/month — 45% cheaper than Sol. Claude Sonnet 5 is slightly cheaper on output, but Terra's larger context window (1.05M vs 1M) may reduce the number of calls needed for complex tasks.

Compare 95 AI Models Side by Side

GPT-5.6 Terra is one of 95 models tracked on APIpulse. Compare pricing, context windows, and features across 11 providers.

Frequently Asked Questions

How much does GPT-5.6 Terra cost?
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens. This positions it between GPT-5.6 Sol ($4/$20) and GPT-5.6 Luna ($0.20/$1.20) in the GPT-5.6 family.
What models does GPT-5.6 Terra replace?
GPT-5.6 Terra replaces both GPT-5 mini (shutting down Dec 11, 2026) and o4-mini (shutting down Oct 23, 2026). Terra offers the same 1.05M context as Sol at 50% lower cost, making it the natural upgrade path for mid-tier workloads.
What is the context window of GPT-5.6 Terra?
GPT-5.6 Terra has a 1.05 million token context window — the same as GPT-5.6 Sol and GPT-5.6 Luna. This is significantly larger than GPT-5 mini's 272K context and o4-mini's 200K context.
Is GPT-5.6 Terra cheaper than Claude Sonnet 5?
Yes. GPT-5.6 Terra ($2/$12) is the same price as Claude Sonnet 5 ($2/$10) on input but slightly more expensive on output ($12 vs $10). Both are mid-tier models with 1M context windows. Terra is better for OpenAI ecosystem integration; Sonnet 5 is better for output-heavy workloads.
When should I use GPT-5.6 Terra instead of Sol or Luna?
Use Terra for complex analysis, coding, and agentic workflows that need strong reasoning but don't require Sol's maximum capability. Terra is 50% cheaper than Sol on both input and output. Use Luna ($0.20/$1.20) for simple high-volume tasks; use Sol ($4/$20) when you need the absolute best reasoning.
Does GPT-5.6 Terra support vision?
Yes. GPT-5.6 Terra supports image input alongside text, like all GPT-5.6 models. This makes it suitable for multimodal tasks like document analysis, image understanding, and visual Q&A at a mid-tier price point.

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