AI model comparison
MiniMax M3.1 Flash vs GPT-5.6 Luna
Side by side comparison of MiniMax M3.1 Flash and GPT-5.6 Luna on pricing, benchmark scores, context window, and more.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1M
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
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
MiniMax M3.1 Flash
1.7x cheaper for a typical chat
Higher intelligence score
MiniMax M3.1 Flash
42.7 vs 37.3 on Artificial Analysis
Larger context window
GPT-5.6 Luna
1.05M vs 1M tokens
Newer release
MiniMax M3.1 Flash
Released October 19, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.6 Luna37.3Coding index
GPT-5.6 Luna71.4Agentic index
GPT-5.6 Luna42.1Pricing
MiniMax M3.1 Flash vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.20 |
| Output tokensPer 1M tokens | $0.60 | $1.20 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| Cache writePer 1M tokens | Not available | $0.25 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.40 in / $1.80 out above 272K |
| Web searchPer request | Not available | $0.01 |
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$1Coding task
30K in, 4K out
GPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
GPT-5.6 Luna$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 | |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 524K tokens | 128K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Max | Medium |
| Release date | October 19, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Not supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- MiniMax M3.1 Flash vs MiMo-V2.6-Pro
- MiniMax M3.1 Flash vs GLM 5.3
- MiniMax M3.1 Flash vs Step 5 Preview
- MiniMax M3.1 Flash vs Claude Haiku 5.5
- MiniMax M3.1 Flash vs GLM 5.3 Flash
- MiniMax M3.1 Flash vs Ling 3.1 Flash
- MiniMax M3.1 Flash vs DeepSeek V4.1 Flash 1017
- MiniMax M3.1 Flash vs GPT-6 Luna
- MiniMax M3.1 Flash vs MiMo-V2.6-Flash
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs DeepSeek V4.1 Flash 1017
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs GLM 5.3
- GPT-5.6 Luna vs Claude Haiku 5.5
- GPT-5.6 Luna vs DeepSeek V4 Pro 0813
- GPT-5.6 Luna vs Qwen3.8 27B
- GPT-5.6 Luna vs Ling 3.1 Flash
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs Gemini 3.7 Flash
- GPT-5.6 Luna vs Muse Spark 1.2
- GPT-5.6 Luna vs Mistral Large 4
- GPT-5.6 Luna vs DeepSeek V4 Flash Vision Exp
- GPT-5.6 Luna vs Gemini 3.6 Flash
- GPT-5.6 Luna vs Muse Spark 1.1
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
Our take
MiniMax M3.1 Flash is 1.7x cheaper for a typical chat. MiniMax M3.1 Flash scores higher on the Artificial Analysis Intelligence Index (42.7 vs 37.3). GPT-5.6 Luna has the larger context window (1.05M vs 1M 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 MiniMax M3.1 Flash or GPT-5.6 Luna cheaper?
MiniMax M3.1 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiniMax M3.1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, MiniMax M3.1 Flash or GPT-5.6 Luna?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 1M for MiniMax M3.1 Flash.
Is MiniMax M3.1 Flash smarter than GPT-5.6 Luna?
On the Artificial Analysis Intelligence Index, MiniMax M3.1 Flash scores 42.7 and GPT-5.6 Luna scores 37.3, putting MiniMax M3.1 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiniMax M3.1 Flash and GPT-5.6 Luna at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M3.1 Flash and GPT-5.6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M3.1 Flash and GPT-5.6 Luna at the same time. Compare the answers side by side and keep the best one.