Llama 3.1 NemoGuard 8B Topic Control vs Sarvam 30B
Llama 3.1 NemoGuard 8B Topic Control (2025) and Sarvam 30B (2026) are compact production models from NVIDIA AI and Sarvam.ai. Llama 3.1 NemoGuard 8B Topic Control ships a 4k-token context window, while Sarvam 30B ships a 66k-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.
Sarvam 30B fits 16x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Topic Control for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 NemoGuard 8B Topic Control | Sarvam 30B |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | Classification | Agents and JSON / Tool use |
| Context window | 4k | 66k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.1 NemoGuard 8B Topic Control has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 NemoGuard 8B Topic Control for Classification.
- Sarvam 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Sarvam 30B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Sarvam 30B for Agents and JSON / Tool use.
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 Topic Control
Unavailable
No complete token price in local provider data
Sarvam 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 Topic Control and Sarvam 30B; plan for SDK, billing, or endpoint changes.
- Sarvam 30B adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Sarvam 30B and Llama 3.1 NemoGuard 8B Topic Control; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-03-22 |
| Context window | 4k | 66k |
| Parameters | 8B | 30B (2.4B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Open Weights | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: permitted |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Topic Control | Sarvam 30B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Topic Control | Sarvam 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| 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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Popular comparisons for Sarvam 30B
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.