Xiaomi MiMo-V2.5-Pro vs Nemotron 3 Super-120B-A12B
Xiaomi MiMo-V2.5-Pro (2026) and Nemotron 3 Super-120B-A12B (2026) compare a coding-specialized model against a standalone API model. Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window, while Nemotron 3 Super-120B-A12B ships a 1.05m-token context window. On MMLU PRO, Nemotron 3 Super-120B-A12B leads by 15.1 pts. On pricing, Nemotron 3 Super-120B-A12B costs $0.09/1M input tokens versus $0.43/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Xiaomi MiMo-V2.5-Pro is coding-specialized model, while Nemotron 3 Super-120B-A12B is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Xiaomi MiMo-V2.5-Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | long-context analysis and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1.05m | 1.05m |
| Cheapest output | $0.87/1M tokens | $0.45/1M tokens |
| Provider routes | 3 tracked | 6 tracked |
| Shared benchmarks | 3 rows | MMLU PRO leader |
Decision tradeoffs
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 18.4 points.
- Xiaomi MiMo-V2.5-Pro uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.
- Nemotron 3 Super-120B-A12B holds a shared-benchmark lead on MMLU PRO, ahead by 15.1 points.
- Nemotron 3 Super-120B-A12B has the lower cheapest tracked output price at $0.45/1M tokens.
- Nemotron 3 Super-120B-A12B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Nemotron 3 Super-120B-A12B 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.
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $381. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Nemotron 3 Super-120B-A12B is $0.42/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5-Pro is $0.42/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Xiaomi MiMo-V2.5-Pro adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2026-03-11 |
| Context window | 1.05m | 1.05m |
| Parameters | 1T | 120B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Xiaomi MiMo-V2.5-Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Input price | $0.43/1M tokens | $0.09/1M tokens |
| Output price | $0.87/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Xiaomi MiMo-V2.5-Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Xiaomi MiMo-V2.5-Pro | Nemotron 3 Super-120B-A12B |
|---|---|---|
| MMLU PRO | 68.5 | 83.6 |
| SWE-bench Verified | 78.9 | 60.5 |
| Google-Proof Q&A | 66.7 | 80.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Xiaomi MiMo-V2.5-Pro at 68.5 and Nemotron 3 Super-120B-A12B at 83.6, with Nemotron 3 Super-120B-A12B ahead by 15.1 points; SWE-bench Verified has Xiaomi MiMo-V2.5-Pro at 78.9 and Nemotron 3 Super-120B-A12B at 60.5, with Xiaomi MiMo-V2.5-Pro ahead by 18.4 points; Google-Proof Q&A has Xiaomi MiMo-V2.5-Pro at 66.7 and Nemotron 3 Super-120B-A12B at 80, with Nemotron 3 Super-120B-A12B ahead by 13.3 points. The largest visible gap is 18.4 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on function calling: Xiaomi MiMo-V2.5-Pro and tool use: Xiaomi MiMo-V2.5-Pro. Both models share structured outputs, 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.
For cost, Xiaomi MiMo-V2.5-Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider, while Nemotron 3 Super-120B-A12B lists $0.09/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron 3 Super-120B-A12B lower by about $0.37 per million blended tokens. Availability is 3 providers versus 6, so concentration risk also matters.
Choose Xiaomi MiMo-V2.5-Pro when coding workflow support are central to the workload. Choose Nemotron 3 Super-120B-A12B when provider fit, lower input-token cost, 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.
FAQ
Which has a larger context window, Xiaomi MiMo-V2.5-Pro or Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while Nemotron 3 Super-120B-A12B supports 1.05m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Xiaomi MiMo-V2.5-Pro or Nemotron 3 Super-120B-A12B?
Nemotron 3 Super-120B-A12B is cheaper on tracked token pricing. Xiaomi MiMo-V2.5-Pro costs $0.43/1M input and $0.87/1M output tokens. Nemotron 3 Super-120B-A12B costs $0.09/1M input and $0.45/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Xiaomi MiMo-V2.5-Pro or Nemotron 3 Super-120B-A12B open source?
Xiaomi MiMo-V2.5-Pro is listed under Proprietary. Nemotron 3 Super-120B-A12B is listed under NVIDIA Open Model. 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, Xiaomi MiMo-V2.5-Pro or Nemotron 3 Super-120B-A12B?
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, Xiaomi MiMo-V2.5-Pro or Nemotron 3 Super-120B-A12B?
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.
Where can I run Xiaomi MiMo-V2.5-Pro and Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5-Pro is available on OpenRouter, Xiaomi, and Novita AI. Nemotron 3 Super-120B-A12B is available on Cloudflare Workers AI, DeepInfra, NVIDIA NIM, OpenRouter, and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-01. Data sourced from public model cards and provider documentation.