GLM-5 9B vs Nemotron 3 Ultra
GLM-5 9B (2026) and Nemotron 3 Ultra (2026) are frontier-tier reasoning models from Zhipu AI and NVIDIA AI. GLM-5 9B ships a 262k-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. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron 3 Ultra is safer overall; choose GLM-5 9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM-5 9B | Nemotron 3 Ultra |
|---|---|---|
| Best for | reasoning-heavy apps and tool-calling agents | reasoning-heavy apps and long-context analysis |
| Decision fit | RAG, Agents, and Long context | Long context |
| Context window | 262k | 1m |
| Cheapest output | - | $2.20/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5 9B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags GLM-5 9B for RAG, Agents, and Long context.
- Nemotron 3 Ultra has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Ultra has broader tracked provider coverage for fallback and procurement flexibility.
- 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.
GLM-5 9B
Unavailable
No complete token price in local provider data
Nemotron 3 Ultra
$950
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5 9B and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 3 Ultra and GLM-5 9B; plan for SDK, billing, or endpoint changes.
- GLM-5 9B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-15 | 2026-06-04 |
| Context window | 262k | 1m |
| Parameters | 9 | 550B |
| Architecture | Decoder Only | Mixture of Experts |
| License | MITOSI-approved | NVIDIA Open Model |
| Openness | Open source | Open weights |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5 9B | Nemotron 3 Ultra |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $2.20/1M tokens |
| Providers | - |
Capabilities
| Capability | GLM-5 9B | Nemotron 3 Ultra |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on function calling: GLM-5 9B and tool use: GLM-5 9B. Both models share reasoning mode, 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 Ultra has $0.50/1M input tokens. 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 provider fit are central to the workload. Choose Nemotron 3 Ultra when long-context analysis, larger context windows, 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. 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, GLM-5 9B or Nemotron 3 Ultra?
Nemotron 3 Ultra supports 1m tokens, while GLM-5 9B 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 Ultra open source?
GLM-5 9B is listed under MIT. 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, GLM-5 9B or Nemotron 3 Ultra?
Both GLM-5 9B and Nemotron 3 Ultra expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, GLM-5 9B or Nemotron 3 Ultra?
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.
Which is better for tool use, GLM-5 9B or Nemotron 3 Ultra?
GLM-5 9B has the clearer documented tool use signal in this comparison. If tool use 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 Ultra?
GLM-5 9B is available on the tracked providers still being sourced. Nemotron 3 Ultra 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.