API cost decision in 10 seconds

🔥Nemotron 3 Super (free) vs 🔥MiMo-V2.5-Pro

Pick Nemotron 3 Super (free) for lower cost; pick MiMo-V2.5-Pro only if the larger context window matters more.

Page updated:  Data confirmed:  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-Pro 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 $2.5 for MiMo-V2.5-Pro, saving $2.5 (100% lower).

Cost-first pickNemotron 3 Super (free)
Context-first pickMiMo-V2.5-Pro
Sample savings$2.5100%
10x traffic gap$25

MiMo-V2.5-Pro has more context, but Nemotron 3 Super (free) saves $2.5 on the standard workload. At 10x that traffic, the same price gap is about $25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3 Super (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 Super (free)MiMo-V2.5-Pro
Input-heavy / RAG5M input + 500K outputNemotron 3 Super (free)$0$6.5
Balanced workload1M input + 1M outputNemotron 3 Super (free)$0$4
Output-heavy chatbot1M input + 5M outputNemotron 3 Super (free)$0$16
Cheaper input Nemotron 3 Super (free) $0 vs $1 / 1M

Nemotron 3 Super (free) is free for input tokens while MiMo-V2.5-Pro costs $1 per 1M tokens.

Cheaper output Nemotron 3 Super (free) $0 vs $3 / 1M

Nemotron 3 Super (free) is free for output tokens while MiMo-V2.5-Pro costs $3 per 1M tokens.

Larger context MiMo-V2.5-Pro 1M vs 1.05M

MiMo-V2.5-Pro has 48.58K more context (1.05x larger).

Sample workload Nemotron 3 Super (free) $0 vs $2.5

Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $2.5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super (free) Calculating… Estimated API cost
MiMo-V2.5-Pro Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Nemotron 3 Super (free) has the lower input price; Nemotron 3 Super (free) has the lower output price; MiMo-V2.5-Pro offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Super (free) and $2.5 for MiMo-V2.5-Pro.

Best Fit

Choose Nemotron 3 Super (free) 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.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $2.5 for MiMo-V2.5-Pro, saving $2.5 (100% lower).
  • Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $2.5.
  • Nemotron 3 Super (free) is free for input tokens while MiMo-V2.5-Pro costs $1 per 1M tokens.
  • Nemotron 3 Super (free) is free for output tokens while MiMo-V2.5-Pro costs $3 per 1M tokens.
  • MiMo-V2.5-Pro has 48.58K more context (1.05x larger).
Head-to-Head Specs
Feature🔥Nemotron 3 Super (free)
(NVIDIA)
🔥MiMo-V2.5-Pro
(Xiaomi)
Input Price
prompt tokens per 1M
$0$1
Completion Price
per 1M tokens
$0$3
Sample Workload Cost
1M input + 500K output
$0$2.5
Context Window1M1.05M
Release Date
Popularity#9#13

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 Super (free)On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $2.5 for MiMo-V2.5-Pro, saving $2.5 (100% lower).
High-volume input processingNemotron 3 Super (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3 Super (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2.5-ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • MiMo-V2-Flash can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.25.
  • MiMo-V2.5 can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
  • MiMo-V2-Omni can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

Open NVIDIA models

Xiaomi catalog

Check other Xiaomi models with comparable pricing, context, or release timing.

Open Xiaomi models
Nemotron 3 Super (free)

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...

MiMo-V2.5-Pro

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....