+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-R1 vs GLM-4.7
Comprehensive side-by-side LLM comparison
GLM-4.7 offers 68.1K more tokens in context window than DeepSeek-R1. GLM-4.7 is $1.74 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
+
+
+
+
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
11 months newer
DeepSeek-R1
DeepSeek
2025-01-20
GLM-4.7
Zhipu AI
2025-12-22
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-R1
Input:$0.55
Output:$2.19
+
+
+
+
GLM-4.7
Input:$0.50
Output:$0.50($1.74 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-R1
1 providers
DeepSeek
+
+
+
+
GLM-4.7
1 providers
+
+
+
+
DeepSeek-R1
Avg Score:0.0%
Providers:1
+
+
+
+
GLM-4.7
Avg Score:0.0%
Providers:1