LLM Reference

Nemotron 3 Nano vs Xiaomi MiMo-V2-Pro

Nemotron 3 Nano (2025) and Xiaomi MiMo-V2-Pro (2026) are general-purpose language models from NVIDIA AI and Xiaomi. Nemotron 3 Nano ships a 256k-token context window, while Xiaomi MiMo-V2-Pro ships a 1m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Xiaomi MiMo-V2-Pro is safer overall; choose Nemotron 3 Nano when provider fit matters.

Decision scorecard

Local evidence first
SignalNemotron 3 NanoXiaomi MiMo-V2-Pro
Best fortool-calling agentstool-calling agents and long-context analysis
Decision fitRAG, Agents, and Long contextRAG, Agents, and Long context
Context window256k1m
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Nemotron 3 Nano when...
  • Nemotron 3 Nano has broader tracked provider coverage for fallback and procurement flexibility.
  • Nemotron 3 Nano uniquely exposes Tool use in local model data.
  • Local decision data tags Nemotron 3 Nano for RAG, Agents, and Long context.
Choose Xiaomi MiMo-V2-Pro when...
  • Xiaomi MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags Xiaomi MiMo-V2-Pro for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Nemotron 3 Nano

Unavailable

No complete token price in local provider data

Xiaomi MiMo-V2-Pro

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Nemotron 3 Nano -> Xiaomi MiMo-V2-Pro
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano and Xiaomi MiMo-V2-Pro; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Tool use before moving production traffic.
Xiaomi MiMo-V2-Pro -> Nemotron 3 Nano
  • No overlapping tracked provider route is sourced for Xiaomi MiMo-V2-Pro and Nemotron 3 Nano; plan for SDK, billing, or endpoint changes.
  • Nemotron 3 Nano adds Tool use in local capability data.

Specs

Specification
Released2025-12-152026-03-19
Context window256k1m
Parameters3.97B1T
Architecturemixture of experts-
LicenseNVIDIA Open ModelProprietary
OpennessOpen weightsProprietary
Commercial useCommercial use allowedCommercial use with conditions
Knowledge cutoff-2024-12

Pricing and availability

Pricing attributeNemotron 3 NanoXiaomi MiMo-V2-Pro
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityNemotron 3 NanoXiaomi MiMo-V2-Pro
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesYes
Tool useYesNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on tool use: Nemotron 3 Nano. Both models share function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Nemotron 3 Nano has no token price sourced yet and Xiaomi MiMo-V2-Pro has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Nemotron 3 Nano when provider fit and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2-Pro when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Nemotron 3 Nano or Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-Pro supports 1m tokens, while Nemotron 3 Nano supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Nemotron 3 Nano or Xiaomi MiMo-V2-Pro open source?

Nemotron 3 Nano is listed under NVIDIA Open Model. Xiaomi MiMo-V2-Pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for function calling, Nemotron 3 Nano or Xiaomi MiMo-V2-Pro?

Both Nemotron 3 Nano and Xiaomi MiMo-V2-Pro expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for tool use, Nemotron 3 Nano or Xiaomi MiMo-V2-Pro?

Nemotron 3 Nano has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Nemotron 3 Nano and Xiaomi MiMo-V2-Pro?

Nemotron 3 Nano is available on NVIDIA NIM. Xiaomi MiMo-V2-Pro is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Nemotron 3 Nano over Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-Pro is safer overall; choose Nemotron 3 Nano when provider fit matters. If your workload also depends on provider fit, start with Nemotron 3 Nano; if it depends on long-context analysis, run the same evaluation with Xiaomi MiMo-V2-Pro.

Continue comparing

Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.