LLM Reference

Nemotron 3 Nano Omni vs Qwen3.5-397B-A17B

Nemotron 3 Nano Omni (2026) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from NVIDIA AI and Alibaba. Nemotron 3 Nano Omni ships a 262k-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On MMLU PRO, Qwen3.5-397B-A17B leads by 16 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Nemotron 3 Nano Omni is safer overall; choose Qwen3.5-397B-A17B when reasoning depth matters.

Decision scorecard

Local evidence first
SignalNemotron 3 Nano OmniQwen3.5-397B-A17B
Best formultimodal appsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitLong context, Vision, and ClassificationCoding, RAG, and Agents
Context window262k262k
Cheapest output-$2.34/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks1 rowsMMLU PRO leader

Decision tradeoffs

Choose Nemotron 3 Nano Omni when...
  • Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.
Choose Qwen3.5-397B-A17B when...
  • Qwen3.5-397B-A17B leads the largest shared benchmark signal on MMLU PRO by 16 points.
  • Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3.5-397B-A17B uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.

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

Qwen3.5-397B-A17B

$897

Cheapest tracked route/tier: OpenRouter

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

Switch friction

Nemotron 3 Nano Omni -> Qwen3.5-397B-A17B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.5-397B-A17B adds Reasoning, Function calling, and Tool use in local capability data.
Qwen3.5-397B-A17B -> Nemotron 3 Nano Omni
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.

Specs

Specification
Released2026-04-282026-02-16
Context window262k262k
Parameters30B397B
ArchitectureHybrid Mamba-Transformer MoEMoE
LicenseOpenMDW 1.1Apache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeNemotron 3 Nano OmniQwen3.5-397B-A17B
Input price-$0.39/1M tokens
Output price-$2.34/1M tokens
Providers

Capabilities

CapabilityNemotron 3 Nano OmniQwen3.5-397B-A17B
VisionNoNo
MultimodalYesYes
ReasoningNoYes
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkNemotron 3 Nano OmniQwen3.5-397B-A17B
MMLU PRO71.887.8

Deep dive

On shared benchmark coverage, MMLU PRO has Nemotron 3 Nano Omni at 71.8 and Qwen3.5-397B-A17B at 87.8, with Qwen3.5-397B-A17B ahead by 16 points. The largest visible gap is 16 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on reasoning mode: Qwen3.5-397B-A17B, function calling: Qwen3.5-397B-A17B, tool use: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. Both models share multimodal input, 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 Qwen3.5-397B-A17B has $0.39/1M input tokens. Provider availability is 1 tracked routes versus 4. 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 provider fit are central to the workload. Choose Qwen3.5-397B-A17B when reasoning depth and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Nemotron 3 Nano Omni or Qwen3.5-397B-A17B?

Nemotron 3 Nano Omni supports 262k tokens, while Qwen3.5-397B-A17B supports 262k 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 Qwen3.5-397B-A17B open source?

Nemotron 3 Nano Omni is listed under OpenMDW 1.1. Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?

Both Nemotron 3 Nano Omni and Qwen3.5-397B-A17B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, Nemotron 3 Nano Omni or Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B 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, Nemotron 3 Nano Omni or Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B 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 Nemotron 3 Nano Omni and Qwen3.5-397B-A17B?

Nemotron 3 Nano Omni is available on OpenRouter. Qwen3.5-397B-A17B is available on OpenRouter, Together AI, Alibaba Cloud PAI-EAS, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.