AI model comparison
GPT-6 Luna vs DeepSeek V4.1 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
DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- 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
2.7x cheaper for a typical chat
Higher intelligence score
DeepSeek V4.1 Flash
39.5 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 DeepSeek V4.1 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.30 |
| Output tokensPer 1M tokens | $0.50 | $1.20 |
| Cached input (read)Per 1M tokens | $0.01 | $0.01 |
| 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
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 | 944K tokens |
| Input types | File, Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Max, High, Low |
| Default reasoning effort | Medium | High |
| Release date | September 22, 2026 | September 10, 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
GPT-6 Luna is 2.7x cheaper for a typical chat. DeepSeek V4.1 Flash scores higher on the Artificial Analysis Intelligence Index (39.5 vs 38.1). GPT-6 Luna has the larger context window (1.05M vs 1.05M 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 DeepSeek V4.1 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 DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or DeepSeek V4.1 Flash?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4.1 Flash.
Is GPT-6 Luna smarter than DeepSeek V4.1 Flash?
On the Artificial Analysis Intelligence Index, GPT-6 Luna scores 38.1 and DeepSeek V4.1 Flash scores 39.5, putting DeepSeek V4.1 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 DeepSeek V4.1 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and DeepSeek V4.1 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and DeepSeek V4.1 Flash at the same time. Compare the answers side by side and keep the best one.