Llama 3.1 NemoGuard 8B Content Safety vs Stockmark 2 100B Instruct
Llama 3.1 NemoGuard 8B Content Safety (2025) and Stockmark 2 100B Instruct (2025) are compact production models from NVIDIA AI and Stockmark. Llama 3.1 NemoGuard 8B Content Safety ships a 4k-token context window, while Stockmark 2 100B Instruct ships a 128k-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.
Stockmark 2 100B Instruct fits 32x 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 | Stockmark 2 100B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Classification | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Llama 3.1 NemoGuard 8B Content Safety for Classification.
- Stockmark 2 100B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Stockmark 2 100B Instruct 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
Stockmark 2 100B 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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-06-01 |
| Context window | 4k | 128k |
| Parameters | 8B | 100B |
| Architecture | Decoder Only | Decoder Only |
| License | Open Weights | MITOSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Content Safety | Stockmark 2 100B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Content Safety | Stockmark 2 100B Instruct |
|---|---|---|
| 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
- Llama 3.1 NemoGuard 8B Content Safety vs Qwen2-7B-Instruct
- Llama 3.1 NemoGuard 8B Content Safety vs text-curie
- Llama 3.1 NemoGuard 8B Content Safety vs ShieldGemma 9B
- ELYZA Japanese Llama 2 13B vs Stockmark 2 100B Instruct
- ELYZA Japanese Llama 2 7B vs Stockmark 2 100B Instruct
- Hunyuan Hy3 Preview vs Stockmark 2 100B Instruct
- Xiaomi MiMo-V2.5 vs Stockmark 2 100B Instruct
- Together AI - Gemma 3n-e4B vs Stockmark 2 100B Instruct
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano 4B v1.1
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano VL 8B v1
Popular comparisons for Llama 3.1 NemoGuard 8B Content Safety
- Llama 3.1 NemoGuard 8B Content Safety vs text-curie
- Llama 3.1 NemoGuard 8B Content Safety vs ShieldGemma 9B
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano 4B v1.1
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano VL 8B v1
- Llama 3.1 NemoGuard 8B Content Safety vs Qwen2-7B-Instruct
- Llama 3.1 NemoGuard 8B Content Safety vs Granite Guardian 3.0 8B
Popular comparisons for Stockmark 2 100B Instruct
Last reviewed: 2026-09-08. Data sourced from public model cards and provider documentation.