API cost decision in 10 seconds
Ling-2.6-1T vs 🔥MiMo-V2.5-Pro
Pick Ling-2.6-1T for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.
Budget verdict
Pick Ling-2.6-1T for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.5 for MiMo-V2.5-Pro, saving $2.11 (84.5% lower).
MiMo-V2.5-Pro has more context, but Ling-2.6-1T saves $2.11 on the standard workload. At 10x that traffic, the same price gap is about $21.13. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-2.6-1T | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-1T | $0.69 | $6.5 |
| Balanced workload | 1M input + 1M output | Ling-2.6-1T | $0.7 | $4 |
| Output-heavy chatbot | 1M input + 5M output | Ling-2.6-1T | $3.2 | $16 |
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
Ling-2.6-1T has the lower input price, Ling-2.6-1T has the lower output price, and MiMo-V2.5-Pro offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Ling-2.6-1T and $2.5 for MiMo-V2.5-Pro.
Choose Ling-2.6-1T when you care most about lower input-token price, and lower output-token price.
Choose MiMo-V2.5-Pro when you care most about larger context window.
| Feature | Ling-2.6-1T (inclusionAI) | 🔥MiMo-V2.5-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.07 | $1 |
| Completion Price per 1M tokens | $0.63 | $3 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $2.5 |
| Context Window | 262.14K | 1.05M |
| Release Date | 2026-04-23 | 2026-04-22 |
| Popularity | #13 |
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...
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....
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-2.6-1T | On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.5 for MiMo-V2.5-Pro, saving $2.11 (84.5% lower). |
| High-volume input processing | Ling-2.6-1T | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Ling-2.6-1T | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5-Pro | A larger context window leaves more room for retrieved passages and source files. |