Xiaomi MiMo-V2.5 vs Nemotron 3 Super-120B-A12B
Xiaomi MiMo-V2.5 (2026) and Nemotron 3 Super-120B-A12B (2026) are frontier reasoning models from Xiaomi and NVIDIA AI. Xiaomi MiMo-V2.5 ships a 1.05m-token context window, while Nemotron 3 Super-120B-A12B ships a 1.05m-token context window. On MMLU PRO, Xiaomi MiMo-V2.5 leads by 1.3 pts. On pricing, Nemotron 3 Super-120B-A12B costs $0.09/1M input tokens versus $0.14/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Super-120B-A12B is ~56% cheaper at $0.09/1M; pay for Xiaomi MiMo-V2.5 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Xiaomi MiMo-V2.5 | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | long-context analysis and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1.05m | 1.05m |
| Cheapest output | $0.28/1M tokens | $0.45/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | MMLU PRO leader | 3 shared |
Decision tradeoffs
- Xiaomi MiMo-V2.5 holds a shared-benchmark lead on MMLU PRO, ahead by 1.3 points.
- Xiaomi MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Xiaomi MiMo-V2.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Xiaomi MiMo-V2.5 for RAG, Agents, and Long context.
- 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
$182
Cheapest tracked route/tier: OpenRouter
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2.50. 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 $0.17/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5 is $0.17/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Xiaomi MiMo-V2.5 adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2026-03-11 |
| Context window | 1.05m | 1.05m |
| Parameters | — | 120B |
| Architecture | - | Decoder Only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Xiaomi MiMo-V2.5 | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Input price | $0.14/1M tokens | $0.09/1M tokens |
| Output price | $0.28/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Xiaomi MiMo-V2.5 | Nemotron 3 Super-120B-A12B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | 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 | Nemotron 3 Super-120B-A12B |
|---|---|---|
| MMLU PRO | 84.9 | 83.6 |
| Google-Proof Q&A | 83.7 | 80.0 |
| AIME 2025 | 94.1 | 90.2 |
Deep dive
On shared benchmark coverage, MMLU PRO has Xiaomi MiMo-V2.5 at 84.9 and Nemotron 3 Super-120B-A12B at 83.6, with Xiaomi MiMo-V2.5 ahead by 1.3 points; Google-Proof Q&A has Xiaomi MiMo-V2.5 at 83.7 and Nemotron 3 Super-120B-A12B at 80, with Xiaomi MiMo-V2.5 ahead by 3.7 points; AIME 2025 has Xiaomi MiMo-V2.5 at 94.1 and Nemotron 3 Super-120B-A12B at 90.2, with Xiaomi MiMo-V2.5 ahead by 3.9 points. The largest visible gap is 3.9 points on AIME 2025, 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 vision: Xiaomi MiMo-V2.5, multimodal input: Xiaomi MiMo-V2.5, reasoning mode: Xiaomi MiMo-V2.5, function calling: Xiaomi MiMo-V2.5, and tool use: Xiaomi MiMo-V2.5. 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 lists $0.14/1M input and $0.28/1M 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 Xiaomi MiMo-V2.5 lower by about $0.02 per million blended tokens. Availability is 2 providers versus 6, so concentration risk also matters.
Choose Xiaomi MiMo-V2.5 when reasoning depth 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 or Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5 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 or Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5 is cheaper on tracked token pricing. Xiaomi MiMo-V2.5 costs $0.14/1M input and $0.28/1M 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 or Nemotron 3 Super-120B-A12B open source?
Xiaomi MiMo-V2.5 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 vision, Xiaomi MiMo-V2.5 or Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Xiaomi MiMo-V2.5 or Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5 has the clearer documented multimodal input signal in this comparison. If multimodal input 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 and Nemotron 3 Super-120B-A12B?
Xiaomi MiMo-V2.5 is available on OpenRouter and Xiaomi. 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.