Llama 3.1 Nemotron Nano 8B v1 vs Xiaomi MiMo-V2.5-Pro
Llama 3.1 Nemotron Nano 8B v1 (2025) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. Llama 3.1 Nemotron Nano 8B v1 ships a 4k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Llama 3.1 Nemotron Nano 8B v1 is standalone API model, while Xiaomi MiMo-V2.5-Pro is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron Nano 8B v1 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | general production evaluation | custom coding agents, code generation, and tool loops |
| Decision fit | General | Coding, RAG, and Agents |
| Context window | 4k | 1.05m |
| Cheapest output | - | $0.87/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Llama 3.1 Nemotron Nano 8B v1 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5-Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Xiaomi MiMo-V2.5-Pro uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 Nemotron Nano 8B v1
Unavailable
No complete token price in local provider data
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano 8B v1 and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
- Xiaomi MiMo-V2.5-Pro adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and Llama 3.1 Nemotron Nano 8B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | 2026-04-22 |
| Context window | 4k | 1.05m |
| Parameters | 8B | 1T |
| Architecture | decoder only | mixture of experts |
| License | Llama 3 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron Nano 8B v1 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | - | $0.43/1M tokens |
| Output price | - | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 Nemotron Nano 8B v1 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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-V2.5-Pro, tool use: Xiaomi MiMo-V2.5-Pro, and structured outputs: Xiaomi MiMo-V2.5-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: Llama 3.1 Nemotron Nano 8B v1 has no token price sourced yet and Xiaomi MiMo-V2.5-Pro has $0.43/1M input tokens. Provider availability is 1 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 Nemotron Nano 8B v1 when provider fit are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support, larger context windows, and broader provider choice 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.
FAQ
Which has a larger context window, Llama 3.1 Nemotron Nano 8B v1 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while Llama 3.1 Nemotron Nano 8B v1 supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.1 Nemotron Nano 8B v1 or Xiaomi MiMo-V2.5-Pro open source?
Llama 3.1 Nemotron Nano 8B v1 is listed under Llama 3 Community. Xiaomi MiMo-V2.5-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, Llama 3.1 Nemotron Nano 8B v1 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-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.
Which is better for tool use, Llama 3.1 Nemotron Nano 8B v1 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro 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.
Which is better for structured outputs, Llama 3.1 Nemotron Nano 8B v1 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3.1 Nemotron Nano 8B v1 and Xiaomi MiMo-V2.5-Pro?
Llama 3.1 Nemotron Nano 8B v1 is available on NVIDIA NIM. Xiaomi MiMo-V2.5-Pro is available on OpenRouter, Xiaomi, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.