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  1. Home
  2. Models
  3. GLM 5.3 FlashX
Updated Sep 22, 2026
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Openings

How GLM 5.3 FlashX starts an answer

The first lines of 5 of its 7 written answers. Formatting stripped, words untouched.

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

1,492 words
Counterfactual: The Transistor in 1920 This is a fun one to work through carefully. Let me establish the premise, then trace second- and third-order effects. The Premise Assume point-contact or early junction transistor physics is discovered ~1920 (say, by accident in vacuum tube/semiconductor rectifier research—the…
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

1,306 words
Architecture Review: Real-Time Collaborative Editor This architecture has fundamental flaws that would break core functionality, plus scalability issues. Let me go from critical to scaling concerns.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

1,267 words
The Skeptical Software Engineer Yes, at inference time an LLM really is just "predict the next token, repeat" — a deterministic function (plus sampling noise) that maps a sequence of tokens to a probability distribution.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

1,174 words
48-Hour Action Plan: Patient Safety First, Managed Transparency Second Core Decision (Stated Up Front) We report to regulators immediately—voluntarily—and we disclose on the earnings call. The math is brutal and clear: ~500 patients could develop liver failure over 5 years at current prescribing rates (4M ÷ 8,000).
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

695 words
Critique of MindMeld AI Pitch: 3 Weakest Claims "94% accuracy" for thought-to-text decoding (Slide 3) Why it's weak: This claim contradicts the current scientific state of the art. EEG-based decoding (a non-invasive signal measured through the skull) produces extremely noisy data.
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Compare GLM 5.3 FlashX

GLM 5.3 FlashX vs Ox Alpha12 shared prompts · Landed Aug 2026
GLM 5.3 FlashX vs MiniMax M312 shared prompts · Landed Jun 2026
GLM 5.3 FlashX vs Solar Pro 412 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Qwen3.7 Flash12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs GLM 5.312 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs GLM 5.3 Flash12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Mercury 2.512 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Ling 3.0 Flash Fin (free)12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Ling 3.0 Flash Sante (free)12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Nex-N2.5-Pro (free)12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Ling 3.0 Flash VL (free)12 shared prompts · Landed Sep 2026
GLM 5.3 FlashX vs Muse Spark 1.312 shared prompts · Landed Sep 2026

Prompts GLM 5.3 FlashX answered

  • Historical Counterfactual Analysisreasoning
  • Startup Pitch Teardownreasoning
  • Simple 7-Ingredient Recipeconversation
  • Beginner's Longevity Planreasoning
  • Debug This Architecturereasoning
  • Ethical Dilemma with Stakeholdersreasoning

Alternatives to GLM 5.3 FlashX

GLM 5.3 FlashX is good. These would like a word anyway.

MiMo-V2.6-Flash logo
MiMo-V2.6-Flashxiaomi
Grok 4.7 logo
Grok 4.7xai
Ternary Bonsai 2 27B logo
Ternary Bonsai 2 27Bprism-ml
Ling 3.0 Flash VL (free) logo
Ling 3.0 Flash VL (free)inclusionai
DeepSeek V4.1 Flash logo
DeepSeek V4.1 Flashdeepseek
GPT Image 2.5 Sunburst logo
GPT Image 2.5 Sunburstopenai
Nex-N2.5-Mini (free) logo
Nex-N2.5-Mini (free)nex-agi
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GLM 5.3 FlashX

GLM 5.3 FlashX

Z.ai GLM 5.3 FlashX accepts text, image, and video inputs and produces text, with a 1M context window on OpenRouter.

Ranks#7Customer Support#7Presentation Slides#7Travel Planning#8Business Strategy#8Health & Longevity#8Recipes & Cooking
OpenRouterDocs
Provider
Zhipu AI
Released
2026-09-18
Size
LARGE
Free API (OpenRouter)
No
Per 1M tokens
$0.37 in · $1.25 out
Rival’s tab
$0.01
12/12 receipts survived

Free API availability

No free endpoint for GLM 5.3 FlashX was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.

Provider data: 22 Sep 2026 · OpenRouter usage limits

View API options↗
Get API accessProvider and language code samples
Provider
fromimport openai  OpenAI

client = OpenAI(
"https://openrouter.ai/api/v1"    base_url=,
"$OPENROUTER_API_KEY"    api_key=,
)

response = client.chat.completions.create(
"z-ai/glm-5.3-flashx"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.

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Model Responses

7 outputs · $0.01 tracked across 7 receipts

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