OPENAI VS GOOGLE
GPT-5.6 Luna vs Gemini 3.6 Flash
GPT-5.6 Luna is about 6.7x cheaper than Gemini 3.6 Flash on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.0044 vs $0.03. Gemini 3.6 Flash has the larger context window (1,048,576 vs 1,047,576 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| GPT-5.6 Luna | $0.20 | $1.20 | $0.45 |
| Gemini 3.6 Flash | $1.50 | $7.50 | $3.00 |
Rates from official OpenAI pricing and official Google pricing, checked 2026-08-11.
What a real workload costs
Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.
| Model | Per request (10K in / 2K out) | Per month (100K requests) | Monthly delta |
|---|---|---|---|
| GPT-5.6 Luna | $0.0044 | $440 | — |
| Gemini 3.6 Flash | $0.03 | $3,000 | +$2,560 |
Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.
Specs side by side
| Spec | GPT-5.6 Luna | Gemini 3.6 Flash |
|---|---|---|
| Provider | OpenAI | |
| Context window | 1,047,576 tokens | 1,048,576 tokens |
| Model class | General text | General text |
| Tokenizer | o200k_base (exact, public) | Proprietary (counts estimated) |
Count tokens for each model on its own page: GPT-5.6 Luna token counter and Gemini 3.6 Flash token counter. All OpenAI models are on the OpenAI Token Counter. All Google models are on the Gemini Token Counter.
FAQ
GPT-5.6 Luna vs Gemini 3.6 Flash FAQ
Which is cheaper, GPT-5.6 Luna or Gemini 3.6 Flash?
GPT-5.6 Luna is cheaper. At rates checked 2026-08-11, GPT-5.6 Luna costs $0.20 input / $1.20 output per 1M tokens, while Gemini 3.6 Flash costs $1.50 input / $7.50 output — about a 6.7x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on GPT-5.6 Luna vs Gemini 3.6 Flash?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.0044 on GPT-5.6 Luna and $0.03 on Gemini 3.6 Flash. At 100,000 such requests per month that is $440 vs $3,000 — a difference of $2,560 per month.
Which has the bigger context window, GPT-5.6 Luna or Gemini 3.6 Flash?
Gemini 3.6 Flash. It supports 1,048,576 tokens of context versus 1,047,576 tokens — roughly 786,000 English words in one request.
Do GPT-5.6 Luna and Gemini 3.6 Flash count tokens the same way?
Not exactly. GPT-5.6 Luna uses the published o200k_base tokenizer and Gemini 3.6 Flash uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.