Private AI

Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Search
 
 
 
 
All conversations

Create

Chat
Studio

Explore

Models
Pricing
AI Apps
Blog

Library

Gallery
Workspace
Usage
API
Suggestions and bugs
Terms

|

Privacy

|

Refunds
Balance
Subscription
Teams
Referrals
Presets
Settings
FAQPress & mediaBrand assetsBenchmarksEarn crypto
  1. Models
  2. Text
  3. Z.AI

GLM 5.1 Thinking

GLM-5.1 with extended thinking enabled. Ranks #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo (as of April 2026). Excels at long-horizon tasks, running autonomously for up to 8 hours while refining strategies through thousands of iterations. Run at FP8.

  • Reasoning
  • Tool Calling
  • Structured Output

Added Mar 27, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.70
Output
$2.50
Cache read
$0.18
Compare provider prices

Specifications

Context window
200K
Max output
131.1K
Parameters
744B / 40B
Total / active
Avg output (7d)
1.7K tokens
Longer than 89% of models

Benchmarks

Sourced from Artificial Analysis.

Coding Index

55.8

Coding Index: 55.8
Better than 67% of models compared

Agentic Index

23.9

Agentic Index: 23.9
Better than 65% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

20.3%

Better than 38% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

3.0%

Better than 38% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

965 Elo

Better than 42% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

1125 Elo

Better than 51% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

8.4%

Better than 34% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

73.7%

Better than 68% of models compared

Reasoning

HLE

Humanity's Last Exam

30.1%

Better than 76% of models compared

IFBench

Instruction-following benchmark

76.3%

Better than 95% of models compared

CritPt

Research-level physics reasoning

4.6%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

2.0%

Better than 44% of models compared

SciCode

Python programming for scientific computing

44.8%

Better than 35% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

86.8%

Better than 82% of models compared

Terminal-Bench Hard (legacy)

Agentic coding and terminal use

43.2%

Better than 90% of models compared

T²-Bench Telecom (legacy)

Conversational AI agents in dual-control scenarios

97.7%

Better than 98% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

73.7%

Better than 68% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

31.3%

Last updated Oct 30, 2026

Artificial Analysis

Providers

Loading provider options…

Related text models

Compare GLM 5.1 Thinking with similar models from the same provider or model family.

Apex Flash 1

z-ai/glm-5.3-flash-apex

Apex Flash 1 is Cantina Security and Yeta's cybersecurity-focused post-train of GLM 5.3 Flash for code investigation and tool use.

Apex Flash 1 Abliterated

z-ai/glm-5.3-flash-apex-abliterated

Apex Flash 1 Abliterated is an experimental derivative of Cantina Security and Yeta's Apex Flash 1 with modified refusal behavior.

GLM 5.3 Uncensored

z-ai/glm-5.3-uncensored

An experimental uncensored version of the full GLM 5.3 reasoning model for chat, creative writing, coding, and tool use. It may show unusual behavior or inconsistent response quality.

GLM 5.3 Flash Cybersecurity

z-ai/glm-5.3-flash-cybersecurity

GLM 5.3 Flash Cybersecurity is a cybersecurity-focused variant based on the uncensored model, with provider moderation for illegal activities. It supports always-on reasoning, image understanding, tool calling, and a 1,048,576-token context window.

GLM 5.3 Flash

z-ai/glm-5.3-flash

ox-alpha out of stealth! GLM-5.3 Flash is Z.ai's first natively multimodal GLM-5 model, with 320B total parameters and just 18B active parameters for efficient coding, agentic work, and precise 1M-token context. Its hybrid sparse-and-linear attention architecture helps it outperform GLM-5.2 at one-tenth the price while approaching Claude Opus 4.8 on coding and agentic benchmarks.

GLM 5.3

z-ai/glm-5.3

GLM-5.3 for long-horizon autonomous coding and engineering workflows. This variant defaults to the model's low reasoning tier for faster responses.