Llama 3.3 70B vs GLM 5.2
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: Llama 3.3 70B vs GLM 5.2▼
Which is better, Llama 3.3 70B or GLM 5.2?
▼
Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 61.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Llama 3.3 70B or GLM 5.2?
▼
Llama 3.3 70B has a lower blended cost. Llama 3.3 70B: $0.10 input / $0.32 output. GLM 5.2: $1.40 input / $4.40 output.
Which has a larger context window, Llama 3.3 70B or GLM 5.2?
▼
GLM 5.2 has a larger context window: Llama 3.3 70B supports 131K tokens vs GLM 5.2 at 262K tokens.
What are the key differences between Llama 3.3 70B and GLM 5.2?
▼
Key differences: GLM 5.2 has a notably higher capability index (22.0 point gap); Llama 3.3 70B is significantly cheaper; only GLM 5.2 offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
▼
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 3.3 70B and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.