Llama 3.1 NemoGuard 8B Content Safety vs Swallow 30B
Llama 3.1 NemoGuard 8B Content Safety (2025) and Swallow 30B (2025) are compact production models from NVIDIA AI and Tokyo Institute of Technology. Llama 3.1 NemoGuard 8B Content Safety ships a 4k-token context window, while Swallow 30B ships a 16k-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.
Swallow 30B fits 4x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Content Safety for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 NemoGuard 8B Content Safety | Swallow 30B |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Classification | General |
| Context window | 4k | 16k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.1 NemoGuard 8B Content Safety has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 NemoGuard 8B Content Safety for Classification.
- Swallow 30B 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 route or tier on this page.
Llama 3.1 NemoGuard 8B Content Safety
Unavailable
No complete token price in local provider data
Swallow 30B
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 3.1 NemoGuard 8B Content Safety and Swallow 30B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Swallow 30B and Llama 3.1 NemoGuard 8B Content Safety; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-02-14 |
| Context window | 4k | 16k |
| Parameters | 8B | 30B |
| Architecture | Decoder Only | - |
| License | Open Weights | Llama 2 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: conditional |
| Knowledge cutoff | - | 2023 |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Content Safety | Swallow 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Content Safety | Swallow 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / 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 scores are currently available for this pair.
Continue comparing
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Popular comparisons for Llama 3.1 NemoGuard 8B Content Safety
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Popular comparisons for Swallow 30B
Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.