AI model comparison
GPT-6 Luna vs DeepSeek V3.2
Side by side comparison of GPT-6 Luna and DeepSeek V3.2 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
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
- Input / 1M
- $0.28
- Output / 1M
- $0.42
- Context
- 164K
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
1.7x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-6 Luna
1.05M vs 164K 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 Luna27.8
DeepSeek V3.2Not availableCoding index
GPT-6 LunaNot availableDeepSeek V3.244.2Agentic index
GPT-6 LunaNot availableDeepSeek V3.2Not availablePricing
GPT-6 Luna vs DeepSeek V3.2 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Luna | DeepSeek V3.2 |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.28 |
| Output tokensPer 1M tokens | $0.50 | $0.42 |
| Cached input (read)Per 1M tokens | $0.01 | $0.03 |
| 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$0.45DeepSeek V3.2$0.77Coding task
30K in, 4K out
GPT-6 Luna$5$2.30 cachedDeepSeek V3.2$10.08$2.52 cachedLong document summary
150K in, 2K out
GPT-6 Luna$16$2.50 cachedDeepSeek V3.2$42.84$5.04 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 | DeepSeek V3.2 |
|---|---|---|
| Context window | 1.05M tokens | 164K tokens |
| Max output | 128K tokens | 66K tokens |
| Input types | File, Image, Text | 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 | December 1, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Luna | DeepSeek V3.2 |
|---|---|---|
| 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 |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-6 LunaView full model details- GPT-6 Luna vs DeepSeek V4.1 Flash 1017
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- GPT-6 Luna vs GPT-4o-mini
- GPT-6 Luna vs gpt-oss-20b
- GPT-6 Luna vs GLM 5.3 FlashX
- GPT-6 Luna vs Qwen3.6 35B A3B
- GPT-6 Luna vs GPT-5.6 Luna Pro
- GPT-6 Luna vs Ling 3.1 Flash
DeepSeek V3.2View full model details- DeepSeek V3.2 vs DeepSeek V4.1 Flash 1017
- DeepSeek V3.2 vs DeepSeek V4.1 Flash
- DeepSeek V3.2 vs GLM 5.3 Flash
- DeepSeek V3.2 vs MiMo-V2.6-Flash
- DeepSeek V3.2 vs DeepSeek V4 Flash 0731
- DeepSeek V3.2 vs Hy3
- DeepSeek V3.2 vs Claude Haiku 5.5
- DeepSeek V3.2 vs DeepSeek V4 Flash 0423
- DeepSeek V3.2 vs MiniMax M3.1 Flash
Our take
GPT-6 Luna is 1.7x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 164K 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 V3.2 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 V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or DeepSeek V3.2?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 164K for DeepSeek V3.2.
Can I use GPT-6 Luna and DeepSeek V3.2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and DeepSeek V3.2 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and DeepSeek V3.2 at the same time. Compare the answers side by side and keep the best one.