LLM Reference

Nemotron 3 Nano Omni vs Sarvam 30B

Nemotron 3 Nano Omni (2026) and Sarvam 30B (2026) are compact production models from NVIDIA AI and Sarvam.ai. Nemotron 3 Nano Omni ships a 262k-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.

Nemotron 3 Nano Omni fits 4x more tokens; pick it for long-context work and Sarvam 30B for tighter calls.

Decision scorecard

Local evidence first
SignalNemotron 3 Nano OmniSarvam 30B
Best formultimodal appstool-calling agents
Decision fitLong context, Vision, and ClassificationAgents and JSON / Tool use
Context window262k66k
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Nemotron 3 Nano Omni when...
  • Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Nemotron 3 Nano Omni has broader tracked provider coverage for fallback and procurement flexibility.
  • Nemotron 3 Nano Omni uniquely exposes Multimodal in local model data.
  • Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.
Choose Sarvam 30B when...
  • 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.

Nemotron 3 Nano Omni

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

Nemotron 3 Nano Omni -> Sarvam 30B
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Sarvam 30B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal before moving production traffic.
  • Sarvam 30B adds Function calling and Tool use in local capability data.
Sarvam 30B -> Nemotron 3 Nano Omni
  • No overlapping tracked provider route is sourced for Sarvam 30B and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
  • Nemotron 3 Nano Omni adds Multimodal in local capability data.

Specs

Specification
Released2026-04-282026-03-22
Context window262k66k
Parameters30B30B (2.4B active)
ArchitectureHybrid Mamba-Transformer MoEmoe
LicenseNVIDIA Open ModelApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff-2025-06

Pricing and availability

Pricing attributeNemotron 3 Nano OmniSarvam 30B
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityNemotron 3 Nano OmniSarvam 30B
VisionNoNo
MultimodalYesNo
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 multimodal input: Nemotron 3 Nano Omni, 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: Nemotron 3 Nano Omni 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 Nemotron 3 Nano Omni when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Sarvam 30B when provider fit 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.

FAQ

Which has a larger context window, Nemotron 3 Nano Omni or Sarvam 30B?

Nemotron 3 Nano Omni supports 262k tokens, while Sarvam 30B supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Nemotron 3 Nano Omni or Sarvam 30B open source?

Nemotron 3 Nano Omni is listed under NVIDIA Open Model. 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 multimodal input, Nemotron 3 Nano Omni or Sarvam 30B?

Nemotron 3 Nano Omni has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Nemotron 3 Nano Omni 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, Nemotron 3 Nano Omni 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 Nemotron 3 Nano Omni and Sarvam 30B?

Nemotron 3 Nano Omni is available on OpenRouter. Sarvam 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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