GLM-4.7-Flash

Code & Development · Both · Free

3.3
WAIT

About GLM-4.7-Flash

GLM-4.7-Flash is a 30B Mixture-of-Experts language model from Z.ai (Zhipu) that activates only ~3B parameters per token, achieving frontier-level coding and reasoning performance while running on consumer hardware (24GB VRAM, 200K context window). Released in January 2026, it leads SWE-Bench, GPQA, and reasoning benchmarks among similarly sized open models and is particularly strong at frontend and backend code generation. It can be deployed locally via Ollama, LM Studio, or vLLM, making it practical for privacy-sensitive or latency-sensitive agentic workflows. Alternatives: GLM-4.7-Flash is a 30B Mixture-of-Experts language model from Z.ai (Zhipu) that activates only ~3B parameters per token, achieving frontier-level coding and reasoning performance while running on consumer hardware (24GB VRAM, 200K context window). Released in January 2026, it leads SWE-Bench, GPQA, and reasoning benchmarks among similarly sized open models and is particularly strong at frontend and backend code generation. It can be deployed locally via Ollama, LM Studio, or vLLM, making it practical for privacy-sensitive or latency-sensitive agentic workflows.

12-Dimension Score

Budget Impact 5.0 free — zero cost
Deal Economics 5.0 free — best possible economics
Product DNA 4.0 detailed description (1149 chars); 5 active features
Integration Potential 4.0 has API access
Risk Assessment 4.0 web service — check company stability; active status
Innovation Potential 3.5 good feature breadth
Personal Workflow Fit 3.0 baseline platform score
AI/Automation Synergy 3.0 some AI/automation relevance
Build vs Buy 3.0 moderate complexity — could be built in days
Competitor Landscape 2.5 10+ alternatives — crowded market
Consolidation Value 1.5 92 tools already owned — adds fragmentation
Unique Value 1.0 extreme saturation — 92 owned tools in category

Details

PlatformBoth
Cost ModelFree
SourceWEB
StatusActive

Features

Type: AI Model AI Copilot?: Yes Languages: All major Local/Cloud: Both API?: Yes