LLM Reference

Llama 3.1 Swallow 8B Instruct vs Nemotron 3 Ultra

Llama 3.1 Swallow 8B Instruct (2025) and Nemotron 3 Ultra (2026) are frontier reasoning models from Tokyo Institute of Technology and NVIDIA AI. Llama 3.1 Swallow 8B Instruct ships a 4k-token context window, while Nemotron 3 Ultra ships a 1m-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.

Nemotron 3 Ultra fits 250x more tokens; pick it for long-context work and Llama 3.1 Swallow 8B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalLlama 3.1 Swallow 8B InstructNemotron 3 Ultra
Best forgeneral production evaluationreasoning-heavy apps and long-context analysis
Decision fitGeneralLong context
Context window4k1m
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Llama 3.1 Swallow 8B Instruct when...
  • Llama 3.1 Swallow 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
Choose Nemotron 3 Ultra when...
  • Nemotron 3 Ultra has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Nemotron 3 Ultra uniquely exposes Reasoning in local model data.
  • Local decision data tags Nemotron 3 Ultra for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Llama 3.1 Swallow 8B Instruct

Unavailable

No complete token price in local provider data

Nemotron 3 Ultra

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 Swallow 8B Instruct -> Nemotron 3 Ultra
  • No overlapping tracked provider route is sourced for Llama 3.1 Swallow 8B Instruct and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
  • Nemotron 3 Ultra adds Reasoning in local capability data.
Nemotron 3 Ultra -> Llama 3.1 Swallow 8B Instruct
  • No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Llama 3.1 Swallow 8B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.

Specs

Specification
Released2025-01-012026-06-04
Context window4k1m
Parameters8B550B
Architecturedecoder onlymoe
LicenseLlama 2 CommunityNVIDIA Open Model
OpennessOpen weightsOpen weights
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2023-

Pricing and availability

Pricing attributeLlama 3.1 Swallow 8B InstructNemotron 3 Ultra
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityLlama 3.1 Swallow 8B InstructNemotron 3 Ultra
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
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 reasoning mode: Nemotron 3 Ultra. 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 Swallow 8B Instruct has no token price sourced yet and Nemotron 3 Ultra 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 Swallow 8B Instruct when provider fit and broader provider choice are central to the workload. Choose Nemotron 3 Ultra when reasoning depth 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, Llama 3.1 Swallow 8B Instruct or Nemotron 3 Ultra?

Nemotron 3 Ultra supports 1m tokens, while Llama 3.1 Swallow 8B Instruct 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 Swallow 8B Instruct or Nemotron 3 Ultra open source?

Llama 3.1 Swallow 8B Instruct is listed under Llama 2 Community. Nemotron 3 Ultra is listed under NVIDIA Open Model. 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 reasoning mode, Llama 3.1 Swallow 8B Instruct or Nemotron 3 Ultra?

Nemotron 3 Ultra has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Swallow 8B Instruct and Nemotron 3 Ultra?

Llama 3.1 Swallow 8B Instruct is available on NVIDIA NIM. Nemotron 3 Ultra 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 Swallow 8B Instruct over Nemotron 3 Ultra?

Nemotron 3 Ultra fits 250x more tokens; pick it for long-context work and Llama 3.1 Swallow 8B Instruct for tighter calls. If your workload also depends on provider fit, start with Llama 3.1 Swallow 8B Instruct; if it depends on reasoning depth, run the same evaluation with Nemotron 3 Ultra.

Continue comparing

Last reviewed: 2026-06-09. Data sourced from public model cards and provider documentation.