GLM-5.1
Frontier reasoning model with 128K context and agentic capabilities
Overall Highlight
Frontier reasoning with FP8 efficiency — 2x faster inference, near-lossless quality
Overview
GLM-5.1 is a frontier-class language model from Zhipu AI (marketed as Zai-Org). It excels at complex reasoning, code generation, and agentic tasks with tool use. The FP8 quantized variant delivers near-equivalent performance at reduced compute cost. Known for strong instruction following and multi-step planning abilities.
Capabilities
- ▸Complex multi-step reasoning
- ▸Code generation and debugging
- ▸Agentic tool use and function calling
- ▸Long-context understanding (128K tokens)
- ▸Mathematical problem solving
- ▸Creative writing with controlled style
Use Cases
- →Building AI agents with tool use
- →Code review and refactoring
- →Technical documentation
- →Multi-turn conversational assistants
- →Research and analysis tasks
Version Breakdown
GLM-5.1-FP8
2026 Q2Context Window
128K tokens
Parameters
~300B (FP8 quantized)
Release
2026 Q2
Highlights
- ▸FP8 quantization for 2x inference speedup
- ▸Near-lossless quality vs FP16 baseline
- ▸Optimized for Vultr GPU instances
- ▸Agentic tool use with native function calling
Benchmarks
MMLU
88.4
HumanEval
92.1
GSM8K
95.3
MATH
78.6
GLM-5.1
2026 Q1Context Window
128K tokens
Parameters
~300B (FP16)
Release
2026 Q1
Highlights
- ▸Full precision reference model
- ▸Best-in-class reasoning on math benchmarks
- ▸Strong zero-shot instruction following
- ▸Native support for structured output (JSON)
Benchmarks
MMLU
89.1
HumanEval
93.0
GSM8K
96.0
MATH
79.8
GLM-4.5
2025 Q4Context Window
64K tokens
Parameters
~200B
Release
2025 Q4
Highlights
- ▸Previous generation with strong general capabilities
- ▸Widely deployed in production
- ▸Good cost-to-performance ratio
- ▸Stable API with high availability
Benchmarks
MMLU
84.2
HumanEval
87.5
GSM8K
91.0
MATH
72.1