GPT-5.6 Luna vs GPT-5.6 Terra
Pricing verdict: GPT-5.6 Luna vs GPT-5.6 Terra: GPT-5.6 Luna is cheaper for input-heavy usage ($1.00/M vs $2.50/M input tokens), while GPT-5.6 Luna is better for long-context tasks (1,050,000 tokens).
Direct answer: choose GPT-5.6 Luna for lower token spend and choose GPT-5.6 Luna when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.6 Luna
GPT-5.6 Terra
Cost Differences
GPT-5.6 Terra costs more than GPT-5.6 Luna
Quick Recommendation
Winner for direct API pricing: GPT-5.6 Luna. At the default workload, GPT-5.6 Luna saves about $18.00/month ($219.00/year) versus GPT-5.6 Terra.
Feature Comparison
| Feature | GPT-5.6 Luna | GPT-5.6 Terra |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.00/1M tokens | $2.50/1M tokens |
| Output Price | $6.00/1M tokens | $15.00/1M tokens |
| Context Window | 1,050,000 tokens | 1,050,000 tokens |
| Max Output | 128,000 tokens | 128,000 tokens |
| Category | efficient | balanced |
| Capabilities | textvisioncodereasoning | textvisioncodereasoning |
| Release Date | 6/26/2026 | 6/26/2026 |
GPT-5.6 Luna vs GPT-5.6 Terra: Which Should You Choose?
Choosing between GPT-5.6 Luna and GPT-5.6 Terra depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.6 Luna is the more affordable option at $1.00/1M input tokens — 60% cheaper than GPT-5.6 Terra.
These models target different tiers: GPT-5.6 Luna is a efficient model while GPT-5.6 Terra is balanced. This means they're optimized for different workloads. GPT-5.6 Terra targets more demanding workloads, while GPT-5.6 Luna provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.6 Luna charges $6.00/1M output tokens vs $15.00 for GPT-5.6 Terra. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.6 Luna has the edge here at $6.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-5.6 Luna when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.6 Terra when:
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
GPT-5.6 Luna
- • Input pricing: $1.00/M tokens
- • Output pricing: $6.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Trade-offs are minor in this matchup.
GPT-5.6 Terra
- • Input pricing: $2.50/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than GPT-5.6 Luna
- • Higher output cost than GPT-5.6 Luna
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.6 Luna (OpenAI)
GPT-5.6 Terra (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or GPT-5.6 Terra?▼
What is the context window difference between GPT-5.6 Luna and GPT-5.6 Terra?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
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