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.
TL;DR
- Price: $2.00/M input, $12.00/M output — 50% cheaper than GPT-5.6 Sol ($4/$20)
- Context: 1.05M tokens — same window as Sol and Luna, 3.8x larger than GPT-5 mini (272K)
- Vision: Yes — supports image input alongside text
- Provider: OpenAI API (platform.openai.com)
- Best for: Complex analysis, coding, agentic workflows, mid-volume production
- Replaces: GPT-5 mini (shutdown Dec 11, 2026) and o4-mini (shutdown Oct 23, 2026)
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:
| Feature | GPT-5 mini | o4-mini | GPT-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 window | 272K | 200K | 1.05M |
| Shutdown date | Dec 11, 2026 | Oct 23, 2026 | Active |
| Reasoning | Standard | Chain-of-thought | Adaptive 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:
| Model | Input Cost | Output Cost | Monthly 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
Related Pages
- GPT-5.6 Pricing Guide — Full GPT-5.6 family comparison (Sol, Terra, Luna)
- GPT-5.6 Luna Pricing — OpenAI's cheapest 1M+ context model
- o4-mini Pricing Guide — Shutting down Oct 23, 2026 (migrate to Terra)
- GPT-5 mini Pricing — Shutting down Dec 11, 2026 (migrate to Terra)
- OpenAI Provider Page — All 31 OpenAI models compared