AI model comparison
GPT-6 Luna vs GPT-4o-mini
Side by side comparison of GPT-6 Luna and GPT-4o-mini on pricing, benchmark scores, context window, and more.
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
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 128K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-6 Luna
1.3x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-6 Luna
1.05M vs 128K tokens
Newer release
GPT-6 Luna
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Luna27.8GPT-4o-miniNot availableCoding index
GPT-6 LunaNot availableGPT-4o-mini11.4Agentic index
GPT-6 LunaNot availableGPT-4o-miniNot availablePricing
GPT-6 Luna vs GPT-4o-mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Luna | GPT-4o-mini |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.15 |
| Output tokensPer 1M tokens | $0.50 | $0.60 |
| Cached input (read)Per 1M tokens | $0.01 | $0.08 |
| Cache writePer 1M tokens | $0.13 | Not available |
| 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 | Not available |
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
GPT-6 Luna$0.45GPT-4o-mini$0.60Coding task
30K in, 4K out
GPT-6 Luna$5$2.30 cachedGPT-4o-mini$6.90$4.65 cachedLong document summary
150K in, 2K out
GPT-6 Luna$16$2.50 cachedGPT-4o-mini$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-6 Luna | GPT-4o-mini |
|---|---|---|
| Context window | 1.05M tokens | 128K tokens |
| Max output | 128K tokens | 16K tokens |
| Input types | File, Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | September 22, 2026 | July 18, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Luna | GPT-4o-mini |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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Our take
GPT-6 Luna is 1.3x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-6 Luna or GPT-4o-mini 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 GPT-4o-mini costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or GPT-4o-mini?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 128K for GPT-4o-mini.
Can I use GPT-6 Luna and GPT-4o-mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and GPT-4o-mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and GPT-4o-mini at the same time. Compare the answers side by side and keep the best one.