Nemotron 3 Ultra vs Xiaomi MiMo-V2-Pro
Nemotron 3 Ultra (2024) and Xiaomi MiMo-V2-Pro (2026) are compact production models from NVIDIA AI and Xiaomi. Nemotron 3 Ultra ships a 128k-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 fits 8x more tokens; pick it for long-context work and Nemotron 3 Ultra for tighter calls.
Decision scorecard
Local evidence first| Signal | Nemotron 3 Ultra | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Best for | general production evaluation | tool-calling agents and long-context analysis |
| Decision fit | Long context | RAG, Agents, and Long context |
| Context window | 128k | 1m |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Nemotron 3 Ultra for Long context.
- Xiaomi MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2-Pro uniquely exposes Function calling in local model data.
- 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 Ultra
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
- No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Xiaomi MiMo-V2-Pro; plan for SDK, billing, or endpoint changes.
- Xiaomi MiMo-V2-Pro adds Function calling in local capability data.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2-Pro and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-10 | 2026-03-19 |
| Context window | 128k | 1m |
| Parameters | 550B (55B active) | 1T |
| Architecture | decoder only | - |
| License | NVIDIA Open Model | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Nemotron 3 Ultra | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Nemotron 3 Ultra | Xiaomi MiMo-V2-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Xiaomi MiMo-V2-Pro. Both models share the core language-model surface, 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 Ultra has no token price sourced yet and Xiaomi MiMo-V2-Pro has no token price sourced yet. Provider availability is 0 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 Ultra when provider fit 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 Ultra or Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro supports 1m tokens, while Nemotron 3 Ultra supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Nemotron 3 Ultra or Xiaomi MiMo-V2-Pro open source?
Nemotron 3 Ultra 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 Ultra or Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Nemotron 3 Ultra over Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Nemotron 3 Ultra for tighter calls. If your workload also depends on provider fit, start with Nemotron 3 Ultra; if it depends on long-context analysis, run the same evaluation with Xiaomi MiMo-V2-Pro.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.