DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Model details →DeepSeek: R1 vs Z.ai: GLM 4.5
Z.ai: GLM 4.5 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 | Z.ai: GLM 4.5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: R1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.60 | 🏆 Z.ai: GLM 4.5 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.50 | $2.20 | 🏆 Z.ai: GLM 4.5 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: R1 better than Z.ai: GLM 4.5?
Z.ai: GLM 4.5 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 and Z.ai: GLM 4.5?
Input: $0.70 vs $0.60 per 1M tokens. Output: $2.50 vs $2.20 per 1M tokens.
What context windows do DeepSeek: R1 and Z.ai: GLM 4.5 support?
DeepSeek: R1 supports up to 164K tokens. Z.ai: GLM 4.5 supports up to 131K tokens.
Do both DeepSeek: R1 and Z.ai: GLM 4.5 support tool calling?
DeepSeek: R1: yes. Z.ai: GLM 4.5: yes.
Compare DeepSeek: R1 with other models
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