LLM Reference

Hunyuan Hy3 Preview vs Nemotron 3 Nano

Hunyuan Hy3 Preview (2026) and Nemotron 3 Nano (2025) are frontier reasoning models from Tencent AI Lab and NVIDIA AI. Hunyuan Hy3 Preview ships a 262k-token context window, while Nemotron 3 Nano ships a 256k-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.

Hunyuan Hy3 Preview is safer overall; choose Nemotron 3 Nano when provider fit matters.

Decision scorecard

Local evidence first
SignalHunyuan Hy3 PreviewNemotron 3 Nano
Best forreasoning-heavy apps, tool-calling agents, and provider-routed productiontool-calling agents
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window262k256k
Cheapest output$0.26/1M tokens-
Provider routes2 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Hunyuan Hy3 Preview when...
  • Hunyuan Hy3 Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Hunyuan Hy3 Preview has broader tracked provider coverage for fallback and procurement flexibility.
  • Hunyuan Hy3 Preview uniquely exposes Reasoning in local model data.
  • Local decision data tags Hunyuan Hy3 Preview for Coding, RAG, and Agents.
Choose Nemotron 3 Nano when...
  • Local decision data tags Nemotron 3 Nano for RAG, Agents, and Long context.

Monthly cost at traffic

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

Hunyuan Hy3 Preview

$118

Cheapest tracked route/tier: OpenRouter

Nemotron 3 Nano

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Hunyuan Hy3 Preview -> Nemotron 3 Nano
  • No overlapping tracked provider route is sourced for Hunyuan Hy3 Preview and Nemotron 3 Nano; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
Nemotron 3 Nano -> Hunyuan Hy3 Preview
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano and Hunyuan Hy3 Preview; plan for SDK, billing, or endpoint changes.
  • Hunyuan Hy3 Preview adds Reasoning in local capability data.

Specs

Specification
Released2026-04-222025-12-15
Context window262k256k
Parameters295B3.97B
ArchitectureDense + MoE HybridMixture of Experts
LicenseTencent Hunyuan Community LicenseNVIDIA Open Model
OpennessOpen weightsOpen weights
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff--

Pricing and availability

Pricing attributeHunyuan Hy3 PreviewNemotron 3 Nano
Input price$0.07/1M tokens-
Output price$0.26/1M tokens-
Providers

Capabilities

CapabilityHunyuan Hy3 PreviewNemotron 3 Nano
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingYesYes
Tool useYesYes
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 reasoning mode: Hunyuan Hy3 Preview. Both models share function calling and tool use, 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: Hunyuan Hy3 Preview has $0.07/1M input tokens and Nemotron 3 Nano has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Hunyuan Hy3 Preview when reasoning depth, larger context windows, and broader provider choice are central to the workload. Choose Nemotron 3 Nano 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. 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, Hunyuan Hy3 Preview or Nemotron 3 Nano?

Hunyuan Hy3 Preview supports 262k tokens, while Nemotron 3 Nano supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Hunyuan Hy3 Preview or Nemotron 3 Nano open source?

Hunyuan Hy3 Preview is listed under Tencent Hunyuan Community License. Nemotron 3 Nano 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, Hunyuan Hy3 Preview or Nemotron 3 Nano?

Hunyuan Hy3 Preview 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.

Which is better for function calling, Hunyuan Hy3 Preview or Nemotron 3 Nano?

Both Hunyuan Hy3 Preview and Nemotron 3 Nano expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for tool use, Hunyuan Hy3 Preview or Nemotron 3 Nano?

Both Hunyuan Hy3 Preview and Nemotron 3 Nano expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Hunyuan Hy3 Preview and Nemotron 3 Nano?

Hunyuan Hy3 Preview is available on OpenRouter and Tencent Cloud TI Platform. Nemotron 3 Nano is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.