Gemma 2 9B SahabatAI Instruct vs Llama 3.1 NemoGuard 8B Topic Control
Gemma 2 9B SahabatAI Instruct (2025) and Llama 3.1 NemoGuard 8B Topic Control (2025) are compact production models from GoToCompany and NVIDIA AI. Gemma 2 9B SahabatAI Instruct ships a 8k-token context window, while Llama 3.1 NemoGuard 8B Topic Control ships a 4k-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.
Gemma 2 9B SahabatAI Instruct is safer overall; choose Llama 3.1 NemoGuard 8B Topic Control when provider fit matters.
Decision scorecard
Local evidence first| Signal | Gemma 2 9B SahabatAI Instruct | Llama 3.1 NemoGuard 8B Topic Control |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | Classification |
| Context window | 8k | 4k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 2 9B SahabatAI Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.1 NemoGuard 8B Topic Control for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 2 9B SahabatAI Instruct
Unavailable
No complete token price in local provider data
Llama 3.1 NemoGuard 8B Topic Control
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 | 2025-01-01 |
| Context window | 8k | 4k |
| Parameters | 9B | 8B |
| Architecture | Decoder Only | Decoder Only |
| License | Open Weights | Open Weights |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | - |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 2 9B SahabatAI Instruct | Llama 3.1 NemoGuard 8B Topic Control |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 2 9B SahabatAI Instruct | Llama 3.1 NemoGuard 8B Topic Control |
|---|---|---|
| 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 Gemma 2 9B SahabatAI Instruct
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Popular comparisons for Llama 3.1 NemoGuard 8B Topic Control
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.