API cost decision in 10 seconds
Qwen3.6 27B vs 🔥MiMo-V2.5-Pro
Pick Qwen3.6 27B for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.6 27B 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, Qwen3.6 27B is estimated at $1.3 vs $2.5 for MiMo-V2.5-Pro, saving $1.2 (48% lower).
Cost-first pickQwen3.6 27B
Context-first pickMiMo-V2.5-Pro
Sample savings$1.248%
10x traffic gap$12
MiMo-V2.5-Pro has more context, but Qwen3.6 27B saves $1.2 on the standard workload. At 10x that traffic, the same price gap is about $12. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.6 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 27B | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 27B | $2.5 | $6.5 |
| Balanced workload | 1M input + 1M output | Qwen3.6 27B | $2.3 | $4 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 27B | $10.3 | $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
Qwen3.6 27B has the lower input price, Qwen3.6 27B 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 $1.3 for Qwen3.6 27B and $2.5 for MiMo-V2.5-Pro.
Choose Qwen3.6 27B 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 | Qwen3.6 27B (Qwen) | 🔥MiMo-V2.5-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $1 |
| Completion Price per 1M tokens | $2 | $3 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $2.5 |
| Context Window | 262.14K | 1.05M |
| Release Date | 2026-04-27 | 2026-04-22 |
| Popularity | #13 |
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
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 | Qwen3.6 27B | On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $2.5 for MiMo-V2.5-Pro, saving $1.2 (48% lower). |
| High-volume input processing | Qwen3.6 27B | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Qwen3.6 27B | 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. |