LLM Reference

Llama 3.1 Nemotron Nano VL 8B v1 vs Marin 32B Base

Llama 3.1 Nemotron Nano VL 8B v1 (2025) and Marin 32B Base (2025) are compact production models from NVIDIA AI and Marin. Llama 3.1 Nemotron Nano VL 8B v1 ships a 4k-token context window, while Marin 32B Base 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.

Marin 32B Base is safer overall; choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalLlama 3.1 Nemotron Nano VL 8B v1Marin 32B Base
Best formultimodal appsgeneral production evaluation
Decision fitVisionGeneral
Context window4k4k
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 shared0 shared

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 Marin 32B Base when...
  • Marin 32B Base has the larger context window for long prompts, retrieval packs, or transcript analysis.

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

Marin 32B Base

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 -> Marin 32B Base
  • No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano VL 8B v1 and Marin 32B Base; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
Marin 32B Base -> Llama 3.1 Nemotron Nano VL 8B v1
  • No overlapping tracked provider route is sourced for Marin 32B Base and Llama 3.1 Nemotron Nano VL 8B v1; plan for SDK, billing, or endpoint changes.
  • Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.

Specs

Specification
Released2025-03-012025-10-25
Context window4k4k
Parameters8B32.5B
ArchitectureDecoder OnlyDecoder Only
LicenseLlama 3 CommunityApache 2.0OSI-approved
OpennessOpen weightsOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff-2024-07

Pricing and availability

Pricing attributeLlama 3.1 Nemotron Nano VL 8B v1Marin 32B Base
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityLlama 3.1 Nemotron Nano VL 8B v1Marin 32B Base
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: Llama 3.1 Nemotron Nano VL 8B v1 and multimodal input: Llama 3.1 Nemotron Nano VL 8B v1. 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 Marin 32B Base 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 Marin 32B Base 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 Marin 32B Base?

Marin 32B Base supports 4k 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 Marin 32B Base open source?

Llama 3.1 Nemotron Nano VL 8B v1 is listed under Llama 3 Community. Marin 32B Base 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 Marin 32B Base?

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 Marin 32B Base?

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.

Where can I run Llama 3.1 Nemotron Nano VL 8B v1 and Marin 32B Base?

Llama 3.1 Nemotron Nano VL 8B v1 is available on NVIDIA NIM. Marin 32B Base 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 Llama 3.1 Nemotron Nano VL 8B v1 over Marin 32B Base?

Marin 32B Base is safer overall; choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation matters. If your workload also depends on vision-heavy evaluation, start with Llama 3.1 Nemotron Nano VL 8B v1; if it depends on long-context analysis, run the same evaluation with Marin 32B Base.

Continue comparing

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