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GLM-5.1 (Reasoning)

Z AIGLMOpen WeightMIT · Usage Commercial

Description

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.

Date de sortie
2026-04-07
Paramètres
754.0B
Longueur du contexte
200K
Modalités
text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique71
46.0
LS
Classement codage96
73.0
AA
Classement général54
79.0
AA
Science89
72.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)86.2%Aut.

General

LiveBench70.2%

Math

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

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(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

Tarification

Prix d'entrée$1.38 / 1M tokens
Prix de sortie$4.4 / 1M tokens
Prix mixte (3:1)$2.135 / 1M tokens
Prix de lecture cache$0.26 / 1M tokens
Prix d'écriture cacheGratuit

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

20 fournisseurs

Moins cher: ZAIPlus cher: GreenPT
FournisseurEntréeSortie
1ZAIMoins cher
$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 AIPRINCIPAL
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes