GLM-5 9B vs Llama Guard 3 1B
GLM-5 9B (2026) and Llama Guard 3 1B (2024) are frontier reasoning models from Zhipu AI and AI at Meta. GLM-5 9B ships a 262k-token context window, while Llama Guard 3 1B ships a 128k-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.
GLM-5 9B is safer overall; choose Llama Guard 3 1B when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM-5 9B | Llama Guard 3 1B |
|---|---|---|
| Best for | reasoning-heavy apps and tool-calling agents | general production evaluation |
| Decision fit | RAG, Agents, and Long context | Long context and Classification |
| Context window | 262k | 128k |
| Cheapest output | - | $0.10/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM-5 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
- Llama Guard 3 1B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama Guard 3 1B for Long context 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
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
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 Llama Guard 3 1B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Llama Guard 3 1B and GLM-5 9B; plan for SDK, billing, or endpoint changes.
- GLM-5 9B adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-15 | 2024-09-25 |
| Context window | 262k | 128k |
| Parameters | 9 | 1B |
| Architecture | decoder only | decoder only |
| License | MIT(OSI) | Llama 2 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2025-11 | 2023-12 |
Pricing and availability
| Pricing attribute | GLM-5 9B | Llama Guard 3 1B |
|---|---|---|
| Input price | - | $0.10/1M tokens |
| Output price | - | $0.10/1M tokens |
| Providers | - |
Capabilities
| Capability | GLM-5 9B | Llama Guard 3 1B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on 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 Llama Guard 3 1B has $0.10/1M 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 reasoning depth and larger context windows are central to the workload. Choose Llama Guard 3 1B 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 Llama Guard 3 1B?
GLM-5 9B supports 262k tokens, while Llama Guard 3 1B supports 128k 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 Llama Guard 3 1B open source?
GLM-5 9B is listed under MIT. Llama Guard 3 1B is listed under Llama 2 Community. 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 Llama Guard 3 1B?
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 Llama Guard 3 1B?
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 Llama Guard 3 1B?
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 Llama Guard 3 1B?
GLM-5 9B is available on the tracked providers still being sourced. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.