Llama 3.1 NemoGuard 8B Content Safety vs Tencent Hunyuan Turbo S
Llama 3.1 NemoGuard 8B Content Safety (2025) and Tencent Hunyuan Turbo S (2026) are compact production models from NVIDIA AI and Tencent AI Lab. Llama 3.1 NemoGuard 8B Content Safety ships a 4k-token context window, while Tencent Hunyuan Turbo S ships a 200k-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.
Tencent Hunyuan Turbo S fits 50x 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 | Tencent Hunyuan Turbo S |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Classification | Long context |
| Context window | 4k | 200k |
| 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.
- Tencent Hunyuan Turbo S has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Tencent Hunyuan Turbo S for Long context.
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
Tencent Hunyuan Turbo S
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 Tencent Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Tencent Hunyuan Turbo S and Llama 3.1 NemoGuard 8B Content Safety; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-01-10 |
| Context window | 4k | 200k |
| Parameters | 8B | — |
| Architecture | Decoder Only | - |
| License | Open Weights | Tencent Hunyuan Community License |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: conditional |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Content Safety | Tencent Hunyuan Turbo S |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Content Safety | Tencent Hunyuan Turbo S |
|---|---|---|
| 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.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.