Llama 3.2 NV RerankQA 1B v2 vs Swallow 13B Instruct
Llama 3.2 NV RerankQA 1B v2 (2025) and Swallow 13B Instruct (2024) are compact production models from NVIDIA AI and Tokyo Institute of Technology. Llama 3.2 NV RerankQA 1B v2 ships a 4K-token context window, while Swallow 13B Instruct ships a 8K-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.
Llama 3.2 NV RerankQA 1B v2 is safer overall; choose Swallow 13B Instruct when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Llama 3.2 NV RerankQA 1B v2 | Swallow 13B Instruct |
|---|---|---|
| Decision fit | General | General |
| Context window | 4K | 8K |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.2 NV RerankQA 1B v2 has broader tracked provider coverage for fallback and procurement flexibility.
- Swallow 13B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.2 NV RerankQA 1B v2
Unavailable
No complete token price in local provider data
Swallow 13B Instruct
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 Llama 3.2 NV RerankQA 1B v2 and Swallow 13B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Swallow 13B Instruct and Llama 3.2 NV RerankQA 1B v2; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | 2024-12-10 |
| Context window | 4K | 8K |
| Parameters | 1B | 13B |
| Architecture | encoder | - |
| License | 1 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.2 NV RerankQA 1B v2 | Swallow 13B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.2 NV RerankQA 1B v2 | Swallow 13B Instruct |
|---|---|---|
| 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 |
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: Llama 3.2 NV RerankQA 1B v2 has no token price sourced yet and Swallow 13B Instruct has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.2 NV RerankQA 1B v2 when provider fit and broader provider choice are central to the workload. Choose Swallow 13B Instruct when long-context analysis and larger context windows 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.
FAQ
Which has a larger context window, Llama 3.2 NV RerankQA 1B v2 or Swallow 13B Instruct?
Swallow 13B Instruct supports 8K tokens, while Llama 3.2 NV RerankQA 1B v2 supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.2 NV RerankQA 1B v2 or Swallow 13B Instruct open source?
Llama 3.2 NV RerankQA 1B v2 is listed under 1. Swallow 13B Instruct is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Llama 3.2 NV RerankQA 1B v2 and Swallow 13B Instruct?
Llama 3.2 NV RerankQA 1B v2 is available on NVIDIA NIM. Swallow 13B Instruct 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 Llama 3.2 NV RerankQA 1B v2 over Swallow 13B Instruct?
Llama 3.2 NV RerankQA 1B v2 is safer overall; choose Swallow 13B Instruct when long-context analysis matters. If your workload also depends on provider fit, start with Llama 3.2 NV RerankQA 1B v2; if it depends on long-context analysis, run the same evaluation with Swallow 13B Instruct.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.