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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

27
general
54
coding
87
reasoning
61
science
60
agents
0
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique44
49.0
LS
Classement codage168
71.0
AA
Classement général90
68.0
AA
Science143
67.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

TAU3-Bench70.6%Aut.
Finance Agent v244.8%
Toolathlon40.7%Aut.

Code

CyberGym68.7%Aut.
NL2Repo42.7%Aut.
FrontierSWE31.0%

Math

AIME 202695.3%Aut.
HMMT 202594.0%Aut.
IMO-AnswerBench83.8%Aut.
HMMT Feb 2682.6%Aut.
LiveBench70.2%

Reasoning

Vending-Bench 2563441.0%Aut.
GPQANYU + Cohere + Anthropic (2023)86.2%Aut.
BrowseCompOpenAI (2025)79.3%Aut.
MCP Atlas71.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.0%Aut.
SWE-Bench ProPrinceton NLP (2024)58.4%Aut.
Humanity's Last Exam52.3%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
97.7
Gpqa(NYU + Cohere + Anthropic (2023))
86.8
Ifbench(Google Research (2023))
76.3
Lcr(Artificial Analysis)
73.7
Terminalbench V2 1
61.8
Coding Index(Artificial Analysis)
55.8
Scicode(UIUC + Argonne National Lab (2024))
44.8
Terminalbench Hard(Stanford × Laude Institute (2026))
43.2
Hle(Center for AI Safety + Scale AI (2025))
30.1
Intelligence Index(Artificial Analysis)
26.1
Tau Banking
13.6
Terminalbench V4 0
2.0

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$1.285 / 1M tokens
Prix de sortie$4.07 / 1M tokens
Prix mixte (3:1)$1.981 / 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

5 fournisseurs

Moins cher: DeepInfraPlus cher: Z AI
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2ZAI
$0
$0
3FriendliAI
$0
$0
4EmpirioLabs AI
$0.825
$3.301
5Z AIPRINCIPAL
$1.285
$4.07

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes