GPT-5.6 Luna Pro is $0.23 cheaper per 1M input tokens (54% lower; 2.17x difference).
API cost decision in 10 seconds
NewMiMo-V2.6-Pro vs GPT-5.6 Luna Pro
Pick GPT-5.6 Luna Pro when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-5.6 Luna Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $0.87 for MiMo-V2.6-Pro, saving $0.07 (8% lower).
Cost-first pickGPT-5.6 Luna Pro
Context-first pickGPT-5.6 Luna Pro
Sample savings$0.078%
10x traffic gap$0.7
GPT-5.6 Luna Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Luna Pro, balanced workload favors MiMo-V2.6-Pro, and output-heavy chatbot favors MiMo-V2.6-Pro.
| Workload shape | Token mix | Better pick | MiMo-V2.6-Pro | GPT-5.6 Luna Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.6 Luna Pro | $2.61 | $1.6 |
| Balanced workload | 1M input + 1M output | MiMo-V2.6-Pro | $1.3 | $1.4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.6-Pro | $4.78 | $6.2 |
MiMo-V2.6-Pro is $0.33 cheaper per 1M output tokens (27.5% lower; 1.38x difference).
GPT-5.6 Luna Pro has 1.42K more context (1x larger).
GPT-5.6 Luna Pro is $0.07 cheaper on the standard workload (8% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GPT-5.6 Luna Pro has the lower input price; MiMo-V2.6-Pro has the lower output price; GPT-5.6 Luna Pro offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for MiMo-V2.6-Pro and $0.8 for GPT-5.6 Luna Pro.
Choose MiMo-V2.6-Pro when you care most about lower output-token price.
Choose GPT-5.6 Luna Pro when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $0.87 for MiMo-V2.6-Pro, saving $0.07 (8% lower).
- GPT-5.6 Luna Pro is $0.07 cheaper on the standard workload (8% lower).
- GPT-5.6 Luna Pro is $0.23 cheaper per 1M input tokens (54% lower; 2.17x difference).
- MiMo-V2.6-Pro is $0.33 cheaper per 1M output tokens (27.5% lower; 1.38x difference).
- GPT-5.6 Luna Pro has 1.42K more context (1x larger).
| Feature | NewMiMo-V2.6-Pro (Xiaomi) | GPT-5.6 Luna Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.435 | $0.2 |
| Completion Price per 1M tokens | $0.87 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0.87 | $0.8 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-5.6 Luna Pro | On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $0.87 for MiMo-V2.6-Pro, saving $0.07 (8% lower). |
| High-volume input processing | GPT-5.6 Luna Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2.6-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Luna Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2.6-Pro when lower sample workload cost matters most: $0.25.
- MiMo-V2.5 can replace MiMo-V2.6-Pro when lower sample workload cost matters most: $0.28.
- MiMo-V2.6-Flash can replace MiMo-V2.6-Pro when lower sample workload cost matters most: $0.28.
- gpt-oss-120b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.36 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.24 sample workload cost.
- Qwen3.8 Max (0902) · Qwen · #1
- DeepSeek V4.1 Flash · DeepSeek · #2
- GLM 5.3 Flash · Z.ai · #3
- Hy4 preview · Tencent · #4
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Open OpenAI modelsMiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
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. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode