Nemotron 3 Ultra vs RWKV-7 Goose 2.9B
Nemotron 3 Ultra (2024) and RWKV-7 Goose 2.9B (2025) are compact production models from NVIDIA AI and RWKV Project. Nemotron 3 Ultra ships a 128k-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.
RWKV-7 Goose 2.9B is safer overall; choose Nemotron 3 Ultra when provider fit matters.
Decision scorecard
Local evidence first| Signal | Nemotron 3 Ultra | RWKV-7 Goose 2.9B |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Long context | Long context |
| Context window | 128k | Infinite |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Nemotron 3 Ultra for Long context.
- 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 Ultra
Unavailable
No complete token price in local provider data
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 Ultra and RWKV-7 Goose 2.9B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for RWKV-7 Goose 2.9B and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-10 | 2025-03-18 |
| Context window | 128k | Infinite |
| Parameters | 550B (55B active) | 2.9B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nemotron 3 Ultra | RWKV-7 Goose 2.9B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Nemotron 3 Ultra | RWKV-7 Goose 2.9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Nemotron 3 Ultra has no token price sourced yet and RWKV-7 Goose 2.9B has no token price sourced yet. Provider availability is 0 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 Ultra when provider fit 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 Ultra or RWKV-7 Goose 2.9B open source?
Nemotron 3 Ultra is listed under Proprietary. 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.
When should I pick Nemotron 3 Ultra over RWKV-7 Goose 2.9B?
RWKV-7 Goose 2.9B is safer overall; choose Nemotron 3 Ultra when provider fit matters. If your workload also depends on provider fit, start with Nemotron 3 Ultra; if it depends on provider fit, run the same evaluation with RWKV-7 Goose 2.9B.
What is the main difference between Nemotron 3 Ultra and RWKV-7 Goose 2.9B?
Nemotron 3 Ultra and RWKV-7 Goose 2.9B differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.