API cost decision in 10 seconds
MiMo-V2.5 vs 🔥Nemotron 3 Super (free)
Pick Nemotron 3 Super (free) for lower cost; pick MiMo-V2.5 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 Nemotron 3 Super (free) for lower cost; pick MiMo-V2.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $1.4 for MiMo-V2.5, saving $1.4 (100% lower).
Cost-first pickNemotron 3 Super (free)
Context-first pickMiMo-V2.5
Sample savings$1.4100%
10x traffic gap$14
MiMo-V2.5 has more context, but Nemotron 3 Super (free) saves $1.4 on the standard workload. At 10x that traffic, the same price gap is about $14. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Super (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2.5 | Nemotron 3 Super (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Super (free) | $3 | $0 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Super (free) | $2.4 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Super (free) | $10.4 | $0 |
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
Nemotron 3 Super (free) has the lower input price, Nemotron 3 Super (free) has the lower output price, and MiMo-V2.5 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.4 for MiMo-V2.5 and $0 for Nemotron 3 Super (free).
Choose MiMo-V2.5 when you care most about larger context window.
Choose Nemotron 3 Super (free) when you care most about lower input-token price, and lower output-token price.
| Feature | MiMo-V2.5 (Xiaomi) | 🔥Nemotron 3 Super (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0 |
| Completion Price per 1M tokens | $2 | $0 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $0 |
| Context Window | 1.05M | 1M |
| Release Date | 2026-04-22 | 2026-03-11 |
| Popularity | #9 |
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Super (free) | On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $1.4 for MiMo-V2.5, saving $1.4 (100% lower). |
| High-volume input processing | Nemotron 3 Super (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Nemotron 3 Super (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5 | A larger context window leaves more room for retrieved passages and source files. |