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Top-Tier Reasoning

GLM 5.1

GLM 5.1, Z.AI's groundbreaking 754B open-weight agentic model, revolutionizes engineering with state-of-the-art performance on SWE-Bench Pro and unmatched 8-hour autonomous execution for complex, long-horizon tasks. Harness its Mixture of Experts architecture, superior coding prowess, and features like function calling to build intelligent agents that plan, iterate, and deliver without drift.

200k Context
Top-Tier Intelligence
GLM-5.1's knowledge cutoff date is not specified in the available search results. The sources indicate that while GPT-5.1 Codex has a documented cutoff of September 30, 2024, GLM-5.1's cutoff date remains undocumented. Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
88-92%
GPQA
86.2%
AIME 2026
95.3%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use GLM 5.1?

Long-Horizon Autonomous Execution

Autonomously handles complex tasks for up to 8 hours, completing planning, execution, and iterative optimization loops

State-of-the-Art Coding Performance

Achieves top benchmarks like 58.4 on SWE-Bench Pro, rivaling Claude Opus 4.6 in agentic coding and engineering

Interleaved Thinking & Tool Use

Supports reasoning between tool calls, preserved context, and structured function calling for precise, continuous decision-making

Capability Examples

Agentic Coding
Debug this Python function that's failing on large inputs: def merge_lists(a, b): return sorted(set(a)
set(b)).
Long-Horizon Optimization
Optimize a vector DB query for 20k+ QPS over 600 iterations, starting with Milvus config: {...}. Use tools to experiment.
Iteration 1: Baseline QPS=5k. Changed index to HNSW, QPS=12k. Iteration 47: Tuned ef_search=128, QPS=18k. Iteration 612: Final config yields 21.5k QPS after precise blocker fixes (full JSON config attached).

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure GLM 5.1 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is GLM 5.1 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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