DeepSeek R1 Distill Llama 70B vs GLM 5.2
Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: DeepSeek R1 Distill Llama 70B vs GLM 5.2▼
Which is better, DeepSeek R1 Distill Llama 70B or GLM 5.2?
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Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 70.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, DeepSeek R1 Distill Llama 70B or GLM 5.2?
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DeepSeek R1 Distill Llama 70B has a lower blended cost. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output. GLM 5.2: $1.40 input / $4.40 output.
Which has a larger context window, DeepSeek R1 Distill Llama 70B or GLM 5.2?
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GLM 5.2 has a larger context window: DeepSeek R1 Distill Llama 70B supports 8K tokens vs GLM 5.2 at 262K tokens.
What are the key differences between DeepSeek R1 Distill Llama 70B and GLM 5.2?
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Key differences: GLM 5.2 has a notably higher capability index (13.2 point gap). Compare full specs on this page.
Which model should I choose for my use case?
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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 DeepSeek R1 Distill Llama 70B and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.