LLM Reference

Granite Guardian 3.0 8B vs Sarvam 30B

Granite Guardian 3.0 8B (2025) and Sarvam 30B (2026) are compact production models from IBM Research and Sarvam.ai. Granite Guardian 3.0 8B ships a 8k-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. It focuses on practical selection signals rather than broad model-family marketing.

Sarvam 30B fits 8x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls.

Decision scorecard

Local evidence first
SignalGranite Guardian 3.0 8BSarvam 30B
Best forgeneral production evaluationtool-calling agents
Decision fitClassificationAgents and JSON / Tool use
Context window8k66k
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Granite Guardian 3.0 8B when...
  • Granite Guardian 3.0 8B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Granite Guardian 3.0 8B for Classification.
Choose Sarvam 30B when...
  • Sarvam 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Sarvam 30B uniquely exposes Function calling and 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.

Granite Guardian 3.0 8B

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

Granite Guardian 3.0 8B -> Sarvam 30B
  • No overlapping tracked provider route is sourced for Granite Guardian 3.0 8B and Sarvam 30B; plan for SDK, billing, or endpoint changes.
  • Sarvam 30B adds Function calling and Tool use in local capability data.
Sarvam 30B -> Granite Guardian 3.0 8B
  • No overlapping tracked provider route is sourced for Sarvam 30B and Granite Guardian 3.0 8B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.

Specs

Specification
Released2025-03-012026-03-22
Context window8k66k
Parameters8B30B (2.4B active)
Architecturedecoder onlymoe
LicenseApache 2.0(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2024-042025-06

Pricing and availability

Pricing attributeGranite Guardian 3.0 8BSarvam 30B
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityGranite Guardian 3.0 8BSarvam 30B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Sarvam 30B and tool use: Sarvam 30B. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Granite Guardian 3.0 8B has no token price sourced yet and Sarvam 30B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Granite Guardian 3.0 8B when provider fit and broader provider choice are central to the workload. Choose Sarvam 30B when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Granite Guardian 3.0 8B or Sarvam 30B?

Sarvam 30B supports 66k tokens, while Granite Guardian 3.0 8B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Granite Guardian 3.0 8B or Sarvam 30B open source?

Granite Guardian 3.0 8B is listed under Apache 2.0. Sarvam 30B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for function calling, Granite Guardian 3.0 8B or Sarvam 30B?

Sarvam 30B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Granite Guardian 3.0 8B or Sarvam 30B?

Sarvam 30B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Granite Guardian 3.0 8B and Sarvam 30B?

Granite Guardian 3.0 8B is available on NVIDIA NIM. Sarvam 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Granite Guardian 3.0 8B over Sarvam 30B?

Sarvam 30B fits 8x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls. If your workload also depends on provider fit, start with Granite Guardian 3.0 8B; if it depends on long-context analysis, run the same evaluation with Sarvam 30B.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.