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GLM-5.1 (Reasoning)

Z AIGLMओपन वेटMIT · व्यावसायिक उपयोग

विवरण

GLM-5.1 is Z.AI's next-generation flagship foundation model designed for long-horizon agentic engineering tasks. Built on a 754B MoE architecture (40B active parameters), it can work continuously and autonomously on a single task for up to 8 hours, completing the full loop from planning and execution to iterative optimization and delivery. GLM-5.1 achieves state-of-the-art on SWE-Bench Pro (58.4) and demonstrates strong performance across coding, reasoning, and agentic benchmarks. It supports 200K context length, 128K max output tokens, thinking mode, function calling, structured output, context caching, and MCP integration. Overall performance is aligned with Claude Opus 4.6 with particular strengths in sustained execution and complex engineering optimization.

रिलीज़ तिथि
2026-04-07
पैरामीटर
754.0B
संदर्भ लंबाई
200K
मोडैलिटीज़
text

क्षमता रडार

39
general
54
coding
87
reasoning
60
science
60
agents
0
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

Vending-Bench 2563441.0%स्वयं
BrowseCompOpenAI (2025)79.3%स्वयं
MCP Atlas71.8%स्वयं
TAU3-Bench70.6%स्वयं
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.0%स्वयं
CyberGym68.7%स्वयं
SWE-Bench ProPrinceton NLP (2024)58.4%स्वयं
Finance Agent v244.8%
NL2Repo42.7%स्वयं
Toolathlon40.7%स्वयं
FrontierSWE31.0%

Biology

GPQANYU + Cohere + Anthropic (2023)86.2%स्वयं

General

LiveBench70.2%

Math

AIME 202695.3%स्वयं
HMMT 202594.0%स्वयं
IMO-AnswerBench83.8%स्वयं
HMMT Feb 2682.6%स्वयं
Humanity's Last Exam52.3%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Coding Index(Artificial Analysis)
55.8
Intelligence Index(Artificial Analysis)
41.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
1.0
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Ifbench(Google Research (2023))
0.8
Lcr(Artificial Analysis)
0.7
Terminalbench V2 1
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.3
Tau Banking
0.1

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Physics
90
Biology
90
Chemistry
90
Math
80
Search
80
Safety
70
Code
60
Tool Calling
60
Vision
50
Finance
40

मूल्य निर्धारण

इनपुट मूल्य$1.38 / 1M टोकन
आउटपुट मूल्य$4.4 / 1M टोकन
मिश्रित मूल्य (3:1)$2.135 / 1M टोकन
कैश पठन मूल्य$0.26 / 1M टोकन
कैश लेखन मूल्यमुफ्त

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

20 प्रदाता

सबसे सस्ता: ZAIसबसे महंगा: GreenPT
प्रदाताइनपुटआउटपुट
1ZAIसबसे सस्ता
$0
$0
2FriendliAI
$0
$0
3CrofAI
$0.45
$2.15
4EmpirioLabs AI
$0.825
$3.301
5EBCloud
$0.8571
$3.4286
6302.AI
$0.86
$3.5
7Alibaba (China)
$0.87
$3.48
8LLM Gateway
$0.931
$2.93
9DigitalOcean
$0.975
$4.3
10Wafer
$1
$3.2
11DInference
$1.25
$3.89
12Z AIप्राथमिक
$1.38
$4.4
13Cortecs
$1.384
$4.348
14OpenCode Go
$1.4
$4.4
15Z.AI
$1.4
$4.4
16OpenCode Zen
$1.4
$4.4
17Zhipu AI
$1.4
$4.4
18Auriko
$1.4
$4.4
19Charm Hyper
$1.52432
$4.79072
20GreenPT
$1.756
$5.518

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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