Nemotron 3 Super-120B-A12B vs Qwen3.5-4B
Nemotron 3 Super-120B-A12B (2026) and Qwen3.5-4B (2026) are general-purpose language models from NVIDIA AI and Alibaba. Nemotron 3 Super-120B-A12B ships a 1.05m-token context window, while Qwen3.5-4B ships a 262k-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.
Nemotron 3 Super-120B-A12B fits 4x more tokens; pick it for long-context work and Qwen3.5-4B for tighter calls.
Decision scorecard
Local evidence first| Signal | Nemotron 3 Super-120B-A12B | Qwen3.5-4B |
|---|---|---|
| Best for | long-context analysis and provider-routed production | multimodal apps |
| Decision fit | RAG, Long context, and Classification | Long context and Vision |
| Context window | 1.05m | 262k |
| Cheapest output | $0.45/1M tokens | - |
| Provider routes | 6 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nemotron 3 Super-120B-A12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Super-120B-A12B has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron 3 Super-120B-A12B uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron 3 Super-120B-A12B for RAG, Long context, and Classification.
- Qwen3.5-4B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qwen3.5-4B for Long context and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nemotron 3 Super-120B-A12B
$185
Cheapest tracked route/tier: OpenRouter
Qwen3.5-4B
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 Super-120B-A12B and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Qwen3.5-4B adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Nemotron 3 Super-120B-A12B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Nemotron 3 Super-120B-A12B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-11 | 2026-03-02 |
| Context window | 1.05m | 262k |
| Parameters | 120B | 4B |
| Architecture | decoder only | - |
| License | NVIDIA Open Model | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nemotron 3 Super-120B-A12B | Qwen3.5-4B |
|---|---|---|
| Input price | $0.09/1M tokens | - |
| Output price | $0.45/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Nemotron 3 Super-120B-A12B | Qwen3.5-4B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | 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 vision: Qwen3.5-4B, multimodal input: Qwen3.5-4B, and structured outputs: Nemotron 3 Super-120B-A12B. 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 Super-120B-A12B has $0.09/1M input tokens and Qwen3.5-4B has no token price sourced yet. Provider availability is 6 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 Super-120B-A12B when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.5-4B when vision-heavy evaluation 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 Super-120B-A12B or Qwen3.5-4B?
Nemotron 3 Super-120B-A12B supports 1.05m tokens, while Qwen3.5-4B supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Nemotron 3 Super-120B-A12B or Qwen3.5-4B open source?
Nemotron 3 Super-120B-A12B is listed under NVIDIA Open Model. Qwen3.5-4B is listed under Apache 2.0. 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, Nemotron 3 Super-120B-A12B or Qwen3.5-4B?
Qwen3.5-4B 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, Nemotron 3 Super-120B-A12B or Qwen3.5-4B?
Qwen3.5-4B 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.
Which is better for structured outputs, Nemotron 3 Super-120B-A12B or Qwen3.5-4B?
Nemotron 3 Super-120B-A12B 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 Nemotron 3 Super-120B-A12B and Qwen3.5-4B?
Nemotron 3 Super-120B-A12B is available on Cloudflare Workers AI, DeepInfra, NVIDIA NIM, OpenRouter, and Fireworks AI. Qwen3.5-4B is available on the tracked providers still being sourced. 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.