GPT-6 Luna vs Flash-Lite 3.5
A cost comparison of two tracked small tiers. Tier roles do not establish equal capability, quality or speed.
| Model / service | Tier | Input / 1M | Output / 1M | Observation |
|---|---|---|---|---|
| GPT-6 Luna OpenAI | Small | $0.1 | $0.5 | 2026-10-05 Verified |
| Flash-Lite 3.5 Google Gemini | Small | $0.3 | $2.50 | 2026-10-05 Verified |
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These are recorded base standard list rates in USD per million tokens. Promotions, long-context surcharges, Batch, cache write/storage and other service charges can change the bill. Use the calculator for its supported workload rules and check the linked provider terms. A carried observation is the last known rate, not a fresh verification.
GPT-6 Luna: context capacity 1.05M. Official OpenAI pricing source.
Flash-Lite 3.5: context capacity 1M. Official Google Gemini pricing source.
What would 100,000 English words cost?
Using TokenScale’s estimate of 4 tokens per 3 English words, 100,000 words is about 133,333 tokens. Each column below bills only that direction at the recorded base rate; it is not a complete conversation bill. Language, tokenization, context limits and provider terms can change the result. These are calculations, not provider quotes.
| Model | Input only | Output only |
|---|---|---|
| GPT-6 Luna | $0.0133 | $0.0667 |
| Flash-Lite 3.5 | $0.04 | $0.3333 |
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