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GLM 5.3 Flash Uncensored

Added Jul 29, 2026Open weights

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Use in the app

GLM 5.3 Flash Uncensored is an uncensored fine-tune of the efficient 320B mixture-of-experts reasoning model with provider-dependent vision support, built for unrestricted chat, creative writing, coding, agentic work, tool use, and long-context tasks.

  • Reasoning
  • Tools
  • Vision
  • Structured output
Input
Text, Images
Output
Text
Reasoning effort
low · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.20
Output
$0.80
Cache read
$0.07

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
32.8K
Average output (7 days)
692 tokens
Longer than 61% of 468 models

Side by side

GLM 5.3 Flash Uncensored compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GLM 5.3 Flash UncensoredZ.aiThis modelGLM 5.3 TEEZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedJul 29, 2026Aug 31, 2026
Limits
Context window1.05M1.05M
Max output32.77K131.07KBest
Average output692 tokens1.2K tokens
Pricing, USD per 1M tokens
Input$0.20Best$1.40
Output$0.80Best$4.40
Cache read$0.07Best$0.26
Performance
Throughput212.0 tok/sBest38.5 tok/s
Time to first token2.1 sBest4.4 s
Request success (24h)99.8%Best99.7%
Benchmark indexes
Intelligence Index—44.8
Coding Index—74.8
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputYesYes
Parallel toolsNoYes
Reasoning effortlow, highlow, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GLM 5.3 Flash Uncensored
  • GLM 5.3 TEE

Intelligence Index

  • GLM 5.3 Flash Uncensored—
  • GLM 5.3 TEE44.8
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 74.8

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 62.2%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 29.4%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 0.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 1,505 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 1,649 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 11.2%

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 79.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 17.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 42.3%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 91.7%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 41.9%

  • SciCode

    Scientific computing in Python

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 59.0%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.3 Flash Uncensored: —
    • GLM 5.3 TEE: 79.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
212.0 tok/s
Faster than 85% of 254 models
Time to first token
2.1 s
Quicker than 77% of 254 models
Prompt cache hits
92.7%
About $0.0795 per 1M input tokens with caching
Request success (24h)
99.8%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 98.9%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.3-flash-uncensored",
    "reasoning_effort": "low",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="z-ai/glm-5.3-flash-uncensored",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

Other Z.ai models, starting with the same family.