FW-GLM-5
GLM 5 is a 744B-parameter Mixture-of-Experts model targeting complex systems engineering and long-horizon agentic tasks, using DeepSeek Sparse Attention for efficient long-context processing.Fireworks
FireworksVersion: 1
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About this model
GLM-5 is Z.ai's latest model targeting complex systems engineering and long-horizon agentic tasks. It uses a Mixture of Experts (MoE) architecture with 744 billion total parameters, activating only 40 billion per token for efficient inference. Scaling up from GLM-4.7 (355B/32B), GLM-5 was pre-trained on 28.5 trillion tokens and integrates DeepSeek Sparse Attention (DSA), which selects only the most relevant tokens for attention to reduce the cost of long-context processing. GLM-5 delivers significant improvements over GLM-4.7 across reasoning, coding, and agentic tasks.Key model capabilities
- Mixture of Experts architecture: 744B total parameters with 40B activated per token
- DeepSeek Sparse Attention for efficient long-context processing
- Advanced thinking controls: interleaved, preserved, and turn-level thinking via the
reasoning_historyfield - Multilingual support (English and Chinese)
- Function calling and tool use (file search, code interpreter)
- Streaming support
Quick facts
Model providerFireworks
TypeChat completion
LifecycleGenerally available (GA)
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Context window202.752k
PricingView pricing