GLM-5 9B vs Llama 3.2 11B Instruct
GLM-5 9B (2026) and Llama 3.2 11B Instruct (2025) are frontier reasoning models from Zhipu AI and AI at Meta. GLM-5 9B ships a 262k-token context window, while Llama 3.2 11B Instruct 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 3.2 11B Instruct when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GLM-5 9B | Llama 3.2 11B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps and tool-calling agents | multimodal apps |
| Decision fit | RAG, Agents, and Long context | RAG, Long context, and Vision |
| Context window | 262k | 128k |
| Cheapest output | - | $0.27/1M 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 3.2 11B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.2 11B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Llama 3.2 11B Instruct for RAG, Long context, and Vision.
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 3.2 11B Instruct
$228
Cheapest tracked route/tier: AWS Bedrock
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 3.2 11B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Llama 3.2 11B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.2 11B Instruct and GLM-5 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- GLM-5 9B adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-15 | 2025-09-01 |
| Context window | 262k | 128k |
| Parameters | 9 | 11B |
| Architecture | decoder only | - |
| License | MIT(OSI) | Llama 3 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 3.2 11B Instruct |
|---|---|---|
| Input price | - | $0.20/1M tokens |
| Output price | - | $0.27/1M tokens |
| Providers | - |
Capabilities
| Capability | GLM-5 9B | Llama 3.2 11B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| 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 vision: Llama 3.2 11B Instruct, multimodal input: Llama 3.2 11B Instruct, reasoning mode: GLM-5 9B, function calling: GLM-5 9B, tool use: GLM-5 9B, and structured outputs: Llama 3.2 11B Instruct. 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 3.2 11B Instruct has $0.20/1M 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 3.2 11B Instruct when vision-heavy evaluation 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.
FAQ
Which has a larger context window, GLM-5 9B or Llama 3.2 11B Instruct?
GLM-5 9B supports 262k tokens, while Llama 3.2 11B Instruct 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 3.2 11B Instruct open source?
GLM-5 9B is listed under MIT. Llama 3.2 11B Instruct is listed under Llama 3 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 vision, GLM-5 9B or Llama 3.2 11B Instruct?
Llama 3.2 11B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, GLM-5 9B or Llama 3.2 11B Instruct?
Llama 3.2 11B Instruct 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 Llama 3.2 11B Instruct?
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.
Where can I run GLM-5 9B and Llama 3.2 11B Instruct?
GLM-5 9B is available on the tracked providers still being sourced. Llama 3.2 11B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.