AI model comparison
GPT-5.6 Luna Pro vs MiniMax M3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-5.6 Luna Pro
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
MiniMax
MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax.
- 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-5.6 Luna Pro
1.2x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
GPT-5.6 Luna Pro
1.05M vs 1.05M tokens
Newer release
GPT-5.6 Luna Pro
Released July 9, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.6 Luna ProNot availableCoding index
GPT-5.6 Luna ProNot availableAgentic index
GPT-5.6 Luna ProNot availablePricing
GPT-5.6 Luna Pro vs MiniMax M3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.6 Luna Pro | |
|---|---|---|
| Input tokensPer 1M tokens | $0.20 | $0.30 |
| Output tokensPer 1M tokens | $1.20 | $1.20 |
| Cached input (read)Per 1M tokens | $0.02 | $0.06 |
| Cache writePer 1M tokens | $0.25 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.40 in / $1.80 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-5.6 Luna Pro$1Coding task
30K in, 4K out
GPT-5.6 Luna Pro$10.80$5.40 cachedLong document summary
150K in, 2K out
GPT-5.6 Luna Pro$32.40$5.40 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.6 Luna Pro | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 512K tokens |
| Input types | File, Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | July 9, 2026 | May 31, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.6 Luna Pro | |
|---|---|---|
| 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-5.6 Luna ProView full model details- GPT-5.6 Luna Pro vs DeepSeek V4.1 Flash
- GPT-5.6 Luna Pro vs GLM 5.3 Flash
- GPT-5.6 Luna Pro vs Hy4 preview
- GPT-5.6 Luna Pro vs GPT-6 Luna
- GPT-5.6 Luna Pro vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna Pro vs DeepSeek V4 Flash 0423
- GPT-5.6 Luna Pro vs GPT-5.6 Luna
- GPT-5.6 Luna Pro vs GPT-5.4 Nano
- GPT-5.6 Luna Pro vs GPT-4.1 Mini
- MiniMax M3 vs DeepSeek V4.1 Flash
- MiniMax M3 vs DeepSeek V4 Flash 0731
- MiniMax M3 vs DeepSeek V4 Flash 0423
- MiniMax M3 vs Hy3
- MiniMax M3 vs Gemini 3 Flash Preview
- MiniMax M3 vs DeepSeek V4 Pro 0423
- MiniMax M3 vs Solar Pro 4
- MiniMax M3 vs Qwen3.8 27B
- MiniMax M3 vs GLM 5.3 FlashX
- MiniMax M3 vs DeepSeek V4 Flash Vision Exp
- MiniMax M3 vs MiMo-V2.5-Pro
- MiniMax M3 vs Kimi K2.6
- MiniMax M3 vs Qwen3.7 Max
- MiniMax M3 vs GLM 5
- MiniMax M3 vs Grok Build 0.1
- MiniMax M3 vs Qwen3.6 Plus
- MiniMax M3 vs Qwen3.7 Plus
- MiniMax M3 vs Inkling Small
- MiniMax M3 vs MiniMax M2.7
- MiniMax M3 vs MiniMax M2.5
- MiniMax M3 vs MiniMax M2.1
Our take
GPT-5.6 Luna Pro is 1.2x cheaper for a typical chat. GPT-5.6 Luna Pro 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-5.6 Luna Pro or MiniMax M3 cheaper?
GPT-5.6 Luna Pro is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5.6 Luna Pro costs $0.20 per 1M input tokens and $1.20 per 1M output tokens, while MiniMax M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, GPT-5.6 Luna Pro or MiniMax M3?
GPT-5.6 Luna Pro supports up to 1.05M tokens of context, compared with 1.05M for MiniMax M3.
Can I use GPT-5.6 Luna Pro and MiniMax M3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-5.6 Luna Pro and MiniMax M3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-5.6 Luna Pro and MiniMax M3 at the same time. Compare the answers side by side and keep the best one.