AI model comparison
GPT-6 Luna vs Gemini 3.8 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-6 Luna
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Input / 1M
- $0.10
- Output / 1M
- $0.50
- Context
- 1.05M
Gemini 3.8 Flash
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Input / 1M
- $0.75
- Output / 1M
- $3.75
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-6 Luna
7.5x cheaper for a typical chat
Higher intelligence score
Gemini 3.8 Flash
40.9 vs 38.1 on Artificial Analysis
Larger context window
GPT-6 Luna
1.05M vs 1.05M tokens
Newer release
GPT-6 Luna
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GPT-6 Luna vs Gemini 3.8 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.75 |
| Output tokensPer 1M tokens | $0.50 | $3.75 |
| Cached input (read)Per 1M tokens | $0.01 | $0.08 |
| Cache writePer 1M tokens | $0.13 | $0.04 |
| Long-context pricingPer 1M tokens, for very long prompts | $0.20 in / $0.75 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 66K tokens |
| Input types | File, Image, Text | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | High, Medium, Low |
| Default reasoning effort | Medium | Medium |
| Release date | September 22, 2026 | September 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Our take
Gemini 3.8 Flash is the stronger cheap model: higher intelligence (40.9 vs 37.3) and usually the better default for everyday work. Luna is the OpenAI-shaped alternative if you want that family's style at flash-tier pricing.
FAQ
Frequently asked questions
Is GPT-6 Luna or Gemini 3.8 Flash cheaper?
GPT-6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, while Gemini 3.8 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or Gemini 3.8 Flash?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Gemini 3.8 Flash.
Is GPT-6 Luna smarter than Gemini 3.8 Flash?
On the Artificial Analysis Intelligence Index, GPT-6 Luna scores 38.1 and Gemini 3.8 Flash scores 40.9, putting Gemini 3.8 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-6 Luna and Gemini 3.8 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and Gemini 3.8 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and Gemini 3.8 Flash at the same time. Compare the answers side by side and keep the best one.