LLM Reference

GLM-5 9B vs Nemotron 3 Nano Omni

GLM-5 9B (2026) and Nemotron 3 Nano Omni (2026) are frontier reasoning models from Zhipu AI and NVIDIA AI. GLM-5 9B ships a 262k-token context window, while Nemotron 3 Nano Omni ships a 262k-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.

Nemotron 3 Nano Omni is safer overall; choose GLM-5 9B when reasoning depth matters.

Decision scorecard

Local evidence first
SignalGLM-5 9BNemotron 3 Nano Omni
Best forreasoning-heavy apps and tool-calling agentsmultimodal apps
Decision fitRAG, Agents, and Long contextLong context, Vision, and Classification
Context window262k262k
Cheapest output--
Provider routes0 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GLM-5 9B when...
  • GLM-5 9B uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags GLM-5 9B for RAG, Agents, and Long context.
Choose Nemotron 3 Nano Omni when...
  • Nemotron 3 Nano Omni has broader tracked provider coverage for fallback and procurement flexibility.
  • Nemotron 3 Nano Omni uniquely exposes Multimodal in local model data.
  • Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.

Monthly cost at traffic

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

GLM-5 9B

Unavailable

No complete token price in local provider data

Nemotron 3 Nano Omni

Unavailable

No complete token price in local provider data

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

Switch friction

GLM-5 9B -> Nemotron 3 Nano Omni
  • No overlapping tracked provider route is sourced for GLM-5 9B and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
  • Nemotron 3 Nano Omni adds Multimodal in local capability data.
Nemotron 3 Nano Omni -> GLM-5 9B
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and GLM-5 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal before moving production traffic.
  • GLM-5 9B adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-02-152026-04-28
Context window262k262k
Parameters930B
ArchitectureDecoder OnlyMoE + SSM Hybrid
LicenseMITOSI-approvedNVIDIA Open Model
OpennessOpen sourceOpen weights
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff2025-11-

Pricing and availability

Pricing attributeGLM-5 9BNemotron 3 Nano Omni
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityGLM-5 9BNemotron 3 Nano Omni
VisionNoNo
MultimodalNoYes
ReasoningYesNo
Function callingYesNo
Tool useYesNo
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 multimodal input: Nemotron 3 Nano Omni, reasoning mode: GLM-5 9B, function calling: GLM-5 9B, and tool use: GLM-5 9B. 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: GLM-5 9B has no token price sourced yet and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GLM-5 9B when reasoning depth are central to the workload. Choose Nemotron 3 Nano Omni when provider fit 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. 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.

FAQ

Which has a larger context window, GLM-5 9B or Nemotron 3 Nano Omni?

GLM-5 9B supports 262k tokens, while Nemotron 3 Nano Omni supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is GLM-5 9B or Nemotron 3 Nano Omni open source?

GLM-5 9B is listed under MIT. Nemotron 3 Nano Omni 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 multimodal input, GLM-5 9B or Nemotron 3 Nano Omni?

Nemotron 3 Nano Omni 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 reasoning mode, GLM-5 9B or Nemotron 3 Nano Omni?

GLM-5 9B 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, GLM-5 9B or Nemotron 3 Nano Omni?

GLM-5 9B 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 GLM-5 9B and Nemotron 3 Nano Omni?

GLM-5 9B is available on the tracked providers still being sourced. Nemotron 3 Nano Omni is available on OpenRouter. 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.