정보에 대해서GLM-4.5V
GLM-V 계열 모델의 일부인 GLM-4.5V는 ZhipuAI의 기본 모델 GLM-4.5-Air를 기반으로 하여 이미지, 비디오 및 문서 이해와 같은 작업에서 SOTA 성능을 달성하고 GUI 에이전트 작업도 수행합니다.
Explore how DeepSeek-V3's advanced reasoning and coding capabilities translate into real-world applications.
Automated Code Generation & Debugging
Generate, optimize, and debug complex code snippets across various programming languages. The model's strong reasoning helps identify logical errors and suggest efficient solutions.
Use Case Example:
"A software engineer used DeepSeek-V3 to refactor a legacy Python module, resulting in a 40% reduction in code complexity and a 25% improvement in execution speed."
Scientific & Mathematical Research
Assist researchers by solving complex mathematical problems, formulating hypotheses, and analyzing data. Its ability to reason through abstract concepts makes it a powerful tool for scientific discovery.
Use Case Example:
"A physicist modeled a complex quantum mechanics problem, and the model provided a step-by-step derivation that led to a novel insight, which was later verified experimentally."
Intelligent Agent & Tool Integration
Build sophisticated AI agents that can understand user requests, select the appropriate tools (e.g., APIs, databases), and execute multi-step tasks autonomously.
Use Case Example:
"An automated travel assistant powered by DeepSeek-V3 booked a complete itinerary by interacting with flight, hotel, and car rental APIs based on a single natural language request from the user."
Advanced Conversational AI
Create highly engaging and context-aware chatbots, virtual assistants, or role-playing characters for gaming and entertainment. The model excels at maintaining coherent and natural-sounding dialogue.
Use Case Example:
"A gaming company implemented an NPC (Non-Player Character) using the model, which provided dynamic, unscripted interactions that significantly enhanced player immersion."
메타데이터
사양
주
Deprecated
건축
교정된
네
전문가의 혼합
네
총 매개변수
106B
활성화된 매개변수
12B
추론
아니요
Precision
FP8
콘텍스트 길이
66K
Max Tokens
66K
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Input:
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Max output:
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Input:
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1.9
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Total Context:
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Max output:
131K
Input:
$
0.14
/ M Tokens
Output:
$
0.86
/ M Tokens
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출시일: 2025. 8. 13.
Total Context:
66K
Max output:
66K
Input:
$
0.14
/ M Tokens
Output:
$
0.86
/ M Tokens
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출시일: 2025. 7. 4.
Total Context:
66K
Max output:
66K
Input:
$
0.035
/ M Tokens
Output:
$
0.14
/ M Tokens
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Total Context:
131K
Max output:
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Input:
$
0.14
/ M Tokens
Output:
$
0.57
/ M Tokens
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출시일: 2025. 4. 18.
Total Context:
33K
Max output:
33K
Input:
$
0.27
/ M Tokens
Output:
$
0.27
/ M Tokens
