Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 2.8% higher average benchmark score. Gemini 3.1 Pro offers 910.0K more tokens in context window than GLM 5. GLM 5 is $10.64 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-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
8 days newer
GLM 5
Zhipu AI
2026-02-11

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
GLM 5
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3.1 Pro
GLM 5
Performance comparison across key benchmark categories
Gemini 3.1 Pro
GLM 5
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
GLM 5
Gemini 3.1 Pro
GLM 5
Gemini 3.1 Pro
GLM 5
Zhipu AI