Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 10.8% higher average benchmark score. Gemini 3 Pro offers 804.1K more tokens in context window than GLM-4.7. GLM-4.7 is $21.50 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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.
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Gemini 3 Pro
Google DeepMind
2025-11-18
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
Gemini 3 Pro
GLM-4.7
Context window and performance specifications
Average performance across 3 common benchmarks
Gemini 3 Pro
GLM-4.7
Performance comparison across key benchmark categories
Gemini 3 Pro
GLM-4.7
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
GLM-4.7
Gemini 3 Pro
GLM-4.7
Gemini 3 Pro
GLM-4.7
Zhipu AI