LLM Comparison
GLM-5.3-Flash vs Llama Guard 3 8B
Side-by-side specs, pricing & capabilities · Updated October 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 72 444 | |
| Family | GLM | Llama |
| Status | Current | Current |
| Release Date | Aug 2026 | Feb 2025 |
| Context Window | 1.3M tokens | 131K tokens |
| Input Price | $0.07/M tokens | $0.48/M tokens |
| Output Price | $0.25/M tokens | $0.03/M tokens |
| Pricing Notes | OpenRouter lists a limited-time discounted price of $0.075/M input and $0.25/M output. Standard first-party style pricing is commonly $0.15/M input and $0.50/M output; cache-read pricing may vary by provider. | — |
| Capabilities | textvisionvideo-inputcodetool-usereasoninglong-contextopen-weights | textcode |
| Training Cutoff | Not disclosed | — |
| Max Output | 131K tokens | 100 tokens |
| API Identifier | z-ai/glm-5.3-flash | meta-llama/llama-guard-3-8b |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 57artificial-analysis | — |
| MMLU | 88.1official | — |
| Artificial Analysis Intelligence Index v4.3 | 41.9074artificial-analysis | — |
| GPQA Diamond | 91.2121artificial-analysis | — |
| SciCode | 51.6204artificial-analysis | — |
| Terminal-Bench 2.1 | 84.2697artificial-analysis | — |
| LG3 English safety F1 | — | 93.9meta |
| LG3 English safety AUPRC | — | 98.5meta |
| LG3 tool-use safety F1 | — | 85.6meta |
| LG3 code-interpreter safety F1 | — | 88.5meta |
| View GLM-5.3-Flash | View Llama Guard 3 8B | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| GLM-5.3-FlashCheapest | $0.08 | $0.13 | $0.20 | — |
| Llama Guard 3 8B | $0.48 | $0.02 | $0.50 | +148% |
Z.ai
GLM-5.3-Flash
GLM-5.3-Flash is Z.ai’s open-weight GLM-5 model for efficient coding, long-horizon agent tasks, and long-context multimodal reasoning. It uses a hybrid sparse and linear attention design with 320B total parameters and 18B active parameters.
Meta
Llama Guard 3 8B
Llama Guard 3 8B is a Meta safety-classification model for prompt and response moderation across English, multilingual, search, and code-interpreter use cases.
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