LLM Reference

Llama 3.1 Nemotron Nano VL 8B v1 vs Sarvam 30B

Llama 3.1 Nemotron Nano VL 8B v1 (2025) and Sarvam 30B (2026) are compact production models from NVIDIA AI and Sarvam.ai. Llama 3.1 Nemotron Nano VL 8B v1 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 Nemotron Nano VL 8B v1 for tighter calls.

Decision scorecard

Local evidence first
SignalLlama 3.1 Nemotron Nano VL 8B v1Sarvam 30B
Best formultimodal appstool-calling agents
Decision fitVisionAgents and JSON / Tool use
Context window4k66k
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Llama 3.1 Nemotron Nano VL 8B v1 when...
  • Llama 3.1 Nemotron Nano VL 8B v1 has broader tracked provider coverage for fallback and procurement flexibility.
  • Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.
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.

Llama 3.1 Nemotron Nano VL 8B v1

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

Llama 3.1 Nemotron Nano VL 8B v1 -> Sarvam 30B
  • No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano VL 8B v1 and Sarvam 30B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • Sarvam 30B adds Function calling and Tool use in local capability data.
Sarvam 30B -> Llama 3.1 Nemotron Nano VL 8B v1
  • No overlapping tracked provider route is sourced for Sarvam 30B and Llama 3.1 Nemotron Nano VL 8B v1; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
  • Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.

Specs

Specification
Released2025-03-012026-03-22
Context window4k66k
Parameters8B30B (2.4B active)
Architecturedecoder onlymoe
LicenseLlama 3 CommunityApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff-2025-06

Pricing and availability

Pricing attributeLlama 3.1 Nemotron Nano VL 8B v1Sarvam 30B
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityLlama 3.1 Nemotron Nano VL 8B v1Sarvam 30B
VisionYesNo
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 vision: Llama 3.1 Nemotron Nano VL 8B v1, multimodal input: Llama 3.1 Nemotron Nano VL 8B v1, 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: Llama 3.1 Nemotron Nano VL 8B v1 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 Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation 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.

FAQ

Which has a larger context window, Llama 3.1 Nemotron Nano VL 8B v1 or Sarvam 30B?

Sarvam 30B supports 66k tokens, while Llama 3.1 Nemotron Nano VL 8B v1 supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Llama 3.1 Nemotron Nano VL 8B v1 or Sarvam 30B open source?

Llama 3.1 Nemotron Nano VL 8B v1 is listed under Llama 3 Community. 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 vision, Llama 3.1 Nemotron Nano VL 8B v1 or Sarvam 30B?

Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Llama 3.1 Nemotron Nano VL 8B v1 or Sarvam 30B?

Llama 3.1 Nemotron Nano VL 8B v1 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, Llama 3.1 Nemotron Nano VL 8B v1 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.

Where can I run Llama 3.1 Nemotron Nano VL 8B v1 and Sarvam 30B?

Llama 3.1 Nemotron Nano VL 8B v1 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.

Continue comparing

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