MiniMax-M2.1
Tentang MiniMax-M2.1
MiniMax-M2.1 adalah Model bahasa besar sumber terbuka yang dioptimalkan untuk kemampuan agenik, unggul dalam pengodingan, penggunaan alat, mengikuti instruksi, dan perencanaan jangka panjang. Model ini mendukung pengembangan perangkat lunak multibahasa dan alur kerja multi-tahap yang kompleks, mencapai nilai 74.0 pada SWE-bench Verified dan melampaui Claude Sonnet 4.5 dalam skenario multibahasa
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."
Metadata
Spesifikasi
Negara
Deprecated
Arsitektur
Terkalibrasi
Tidak
Campuran Ahli
Tidak
Total Parameter
230B
Parameter yang Diaktifkan
230B
Penalaran
Tidak
Precision
FP8
Text panjang konteks
197K
Max Tokens
131K
Bandingkan dengan Model Lain
Lihat bagaimana model ini dibandingkan dengan yang lain.
MiniMaxAI
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MiniMax-M2.5
Dirilis pada: 15 Feb 2026
Total Context:
197K
Max output:
131K
Input:
$
0.3
/ M Tokens
Output:
$
1.2
/ M Tokens
MiniMaxAI
chat
MiniMax-M2.1
Dirilis pada: 23 Des 2025
Total Context:
197K
Max output:
131K
Input:
$
0.29
/ M Tokens
Output:
$
1.2
/ M Tokens
MiniMaxAI
chat
MiniMax-M2
Dirilis pada: 28 Okt 2025
Total Context:
197K
Max output:
131K
Input:
$
0.3
/ M Tokens
Output:
$
1.2
/ M Tokens
MiniMaxAI
chat
MiniMax-M1-80k
Dirilis pada: 17 Jun 2025
Total Context:
131K
Max output:
131K
Input:
$
0.55
/ M Tokens
Output:
$
2.2
/ M Tokens
