GPT 6 Luna API Pricing
GPT 6 Luna costs $0.1 per 1M input tokens and $0.5 per 1M output tokens on OpenAI's API. Prices are provider list prices in USD, refreshed as sources update; see the GPT 6 Luna model profile for capability scores.
Price List
| Rate | Price (USD) | Notes |
|---|---|---|
| Input | $0.1 | per 1M tokens |
| Output | $0.5 | per 1M tokens |
| Blended input + output | $0.6 | 1M in + 1M out at list price |
| Context window | 1.05M tokens |
What a Workload Costs
Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of GPT 6 Luna.
| Workload | Cost | Tokens |
|---|---|---|
| Short chat turn | $0.00035 | 1K in / 500 out |
| Summarize a long document | $0.011 | 100K in / 2K out |
| Agentic coding session | $0.100 | 500K in / 100K out |
| 1M input + 1M output tokens | $0.600 | 1M in / 1M out |
Effective Cost
In AI IQ's scoring, GPT 6 Luna's list price is adjusted by a token-usage multiplier of 1.2 (measured from real benchmark runs), giving an effective cost of $0.7199 per 1M input + output tokens. That places it #24 of 131 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.