GPT-5.6 Luna Pro is $0.23 cheaper per 1M input tokens (54% lower; 2.17x difference).
API cost decision in 10 seconds
GPT-5.6 Luna Pro vs MiMo-V2.5-Pro
Pick GPT-5.6 Luna Pro when budget is the priority.
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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 is the priority.
On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $0.87 for MiMo-V2.5-Pro, saving $0.07 (8% lower).
Cost-first pickGPT-5.6 Luna Pro
Context-first pickBoth models
Sample savings$0.078%
10x traffic gap$0.7
The reported context window is tied, so cost and provider fit carry more weight. 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-V2.5-Pro, and output-heavy chatbot favors MiMo-V2.5-Pro.
| Workload shape | Token mix | Better pick | GPT-5.6 Luna Pro | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.6 Luna Pro | $1.6 | $2.61 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5-Pro | $1.4 | $1.3 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5-Pro | $6.2 | $4.78 |
MiMo-V2.5-Pro is $0.33 cheaper per 1M output tokens (27.5% lower; 1.38x difference).
Both models report the same context window at 1.05M tokens.
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-V2.5-Pro has the lower output price; both models report the same 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 $0.8 for GPT-5.6 Luna Pro and $0.87 for MiMo-V2.5-Pro.
Choose GPT-5.6 Luna Pro when you care most about lower input-token price.
Choose MiMo-V2.5-Pro when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $0.87 for MiMo-V2.5-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-V2.5-Pro is $0.33 cheaper per 1M output tokens (27.5% lower; 1.38x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | GPT-5.6 Luna Pro (OpenAI) | MiMo-V2.5-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.435 |
| Completion Price per 1M tokens | $1.2 | $0.87 |
| Sample Workload Cost 1M input + 500K output | $0.8 | $0.87 |
| 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-V2.5-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-V2.5-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.12.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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Open OpenAI modelsXiaomi catalog
Check other Xiaomi models with comparable pricing, context, or release timing.
Open Xiaomi modelsGPT-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
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....