Nemotron 3 Super-120B-A12B vs RWKV-7 Goose 2.9B
Nemotron 3 Super-120B-A12B (2026) and RWKV-7 Goose 2.9B (2025) are general-purpose language models from NVIDIA AI and RWKV Project. Nemotron 3 Super-120B-A12B ships a 1.05m-token context window, while RWKV-7 Goose 2.9B ships a Infinite-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Nemotron 3 Super-120B-A12B is safer overall; choose RWKV-7 Goose 2.9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Nemotron 3 Super-120B-A12B | RWKV-7 Goose 2.9B |
|---|---|---|
| Best for | long-context analysis and provider-routed production | general production evaluation |
| Decision fit | RAG, Long context, and Classification | Long context |
| Context window | 1.05m | Infinite |
| Cheapest output | $0.45/1M tokens | - |
| Provider routes | 5 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- RWKV-7 Goose 2.9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags RWKV-7 Goose 2.9B for Long context.
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
RWKV-7 Goose 2.9B
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 RWKV-7 Goose 2.9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for RWKV-7 Goose 2.9B and Nemotron 3 Super-120B-A12B; plan for SDK, billing, or endpoint changes.
- Nemotron 3 Super-120B-A12B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-11 | 2025-03-18 |
| Context window | 1.05m | Infinite |
| Parameters | 120B | 2.9B |
| Architecture | decoder only | decoder only |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nemotron 3 Super-120B-A12B | RWKV-7 Goose 2.9B |
|---|---|---|
| Input price | $0.09/1M tokens | - |
| Output price | $0.45/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Nemotron 3 Super-120B-A12B | RWKV-7 Goose 2.9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| 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 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 RWKV-7 Goose 2.9B has no token price sourced yet. Provider availability is 5 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 provider fit and broader provider choice are central to the workload. Choose RWKV-7 Goose 2.9B when provider fit 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
Is Nemotron 3 Super-120B-A12B or RWKV-7 Goose 2.9B open source?
Nemotron 3 Super-120B-A12B is listed under Unknown. RWKV-7 Goose 2.9B 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 structured outputs, Nemotron 3 Super-120B-A12B or RWKV-7 Goose 2.9B?
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 RWKV-7 Goose 2.9B?
Nemotron 3 Super-120B-A12B is available on DeepInfra, NVIDIA NIM, OpenRouter, Fireworks AI, and Vercel AI Gateway. RWKV-7 Goose 2.9B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nemotron 3 Super-120B-A12B over RWKV-7 Goose 2.9B?
Nemotron 3 Super-120B-A12B is safer overall; choose RWKV-7 Goose 2.9B when provider fit matters. If your workload also depends on provider fit, start with Nemotron 3 Super-120B-A12B; if it depends on provider fit, run the same evaluation with RWKV-7 Goose 2.9B.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.