Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 910.0K more tokens in context window than GLM-4.6. GLM-4.6 is $13.60 cheaper per million tokens. Gemini 3.1 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
Zhipu AI
GLM-4.6, released by Zhipu AI in September 2025, is a large language model with approximately 357 billion parameters from the GLM-4 family, featuring an expanded 200K token context window. It supports strong mathematical reasoning, coding, and agentic orchestration tasks. GLM-4.6 targets enterprise-ready open-source deployments under an MIT license, with availability through Zhipu AI's Z.ai platform.
4 months newer
GLM-4.6
Zhipu AI
2025-09-30

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
GLM-4.6
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
GLM-4.6
Gemini 3.1 Pro
GLM-4.6
Gemini 3.1 Pro
GLM-4.6
Zhipu AI