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glm-5 vs glm-4.7-flash

Pricing, Performance & Features Comparison

Authorzai
Context Length200K
Reasoning
-
Providers1
ReleasedFeb 2026
Knowledge Cutoff-
License-

GLM-5 is a mixture-of-experts language model from Z.ai with 744 billion total parameters and 40 billion active parameters, designed for complex systems engineering and long-horizon agentic tasks. It utilizes DeepSeek Sparse Attention (DSA) to reduce deployment costs while maintaining long-context capacity, and achieves best-in-class performance among open-source models in reasoning, coding, and agentic tasks.

Input$1
Output$3.2
Latency (p50)7.3s
Output Limit131K
Function Calling
JSON Mode
InputText
OutputText
in$1out$3.2cache$0.2-
Latency (24h)
Success Rate (24h)
Authorzai
Context Length200K
Reasoning
-
Providers1
ReleasedJan 2026
Knowledge Cutoff-
License-

GLM-4.7-Flash is a 30B Mixture-of-Experts (MoE) reasoning model with approximately 3.6B active parameters, designed for local deployment with best-in-class performance for coding, agentic workflows, and chat. It supports a 200K context window and achieves open-source state-of-the-art scores on benchmarks like SWE-bench Verified and τ²-Bench, excelling particularly in frontend and backend development capabilities.

Input$0.07
Output$0.4
Latency (p50)7s
Output Limit131K
Function Calling
JSON Mode
-
InputText
OutputText
in$0.07out$0.4-write$0.01
Latency (24h)
Success Rate (24h)