AI model comparison
MiMo-V2.6-Flash vs GPT-5.6 Luna
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Xiaomi
MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- Context
- 1.05M
OpenAI
GPT-5.6 Luna
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.6-Flash
2.4x cheaper for a typical chat
Higher intelligence score
MiMo-V2.6-Flash
37.9 vs 37.3 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
MiMo-V2.6-Flash
Released September 21, 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
MiMo-V2.6-Flash vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Input tokensPer 1M tokens | $0.14 | $0.20 |
| Output tokensPer 1M tokens | $0.28 | $1.20 |
| Cached input (read)Per 1M tokens | $0.00 | $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 | 1.05M tokens | 1.05M tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Audio, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Not available | Medium |
| Release date | September 21, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | 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.
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
- MiMo-V2.6-Flash vs GLM 5.3 Flash
- MiMo-V2.6-Flash vs Hy4 preview
- MiMo-V2.6-Flash vs GPT-6 Luna
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0731
- MiMo-V2.6-Flash vs Claude Opus 5.5
- MiMo-V2.6-Flash vs GLM 5.3
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0423
- MiMo-V2.6-Flash vs Step 5 Preview
- MiMo-V2.6-Flash vs Gemini 3.8 Flash
- MiMo-V2.6-Flash vs Hy3
- MiMo-V2.6-Flash vs GPT-6.1 Sol
- MiMo-V2.6-Flash vs Muse Spark 1.3 Contributor
- MiMo-V2.6-Flash vs Claude Sonnet 5.5
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Flash vs GPT-6 Astra
- MiMo-V2.6-Flash vs Claude Opus 5
- MiMo-V2.6-Flash vs MiMo-V2.5
- MiMo-V2.6-Flash vs Claude Fable 5.1
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0423
- MiMo-V2.6-Flash vs Solar Pro 4
- MiMo-V2.6-Flash vs GPT-6 Luna Pro
- MiMo-V2.6-Flash vs Claude Haiku 5.5
- MiMo-V2.6-Flash vs Ling 3.1 Flash
- MiMo-V2.6-Flash vs Qwen3.8 Flash
- MiMo-V2.6-Flash vs Qwen3.7 Flash
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs DeepSeek V4 Flash Vision Exp
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs Hy4 preview
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs Gemini 3.8 Flash
- GPT-5.6 Luna vs DeepSeek V4 Pro 0813
- GPT-5.6 Luna vs Claude Haiku 5.5
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs Qwen3.8 27B
- GPT-5.6 Luna vs Gemini 3.7 Flash
- GPT-5.6 Luna vs Muse Spark 1.2
- GPT-5.6 Luna vs GPT-5.5
- GPT-5.6 Luna vs DeepSeek V4 Flash Vision Exp
- 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
MiMo-V2.6-Flash is 2.4x cheaper for a typical chat. MiMo-V2.6-Flash scores higher on the Artificial Analysis Intelligence Index (37.9 vs 37.3). 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 MiMo-V2.6-Flash or GPT-5.6 Luna cheaper?
MiMo-V2.6-Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 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, MiMo-V2.6-Flash or GPT-5.6 Luna?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 1.05M for GPT-5.6 Luna.
Is MiMo-V2.6-Flash smarter than GPT-5.6 Luna?
On the Artificial Analysis Intelligence Index, MiMo-V2.6-Flash scores 37.9 and GPT-5.6 Luna scores 37.3, putting MiMo-V2.6-Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiMo-V2.6-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 MiMo-V2.6-Flash and GPT-5.6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiMo-V2.6-Flash and GPT-5.6 Luna at the same time. Compare the answers side by side and keep the best one.