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GLM-4.5-Air

Z AIGLMOpen WeightMIT · Usage Commercial

Description

GLM-4.5-Air is a more compact variant of GLM-4.5 designed for efficient Agentic, Reasoning, and Coding (ARC) applications. It features 106 billion total parameters with 12 billion active parameters using MoE architecture. Like GLM-4.5, it is a hybrid reasoning model providing thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. Despite its compact design, GLM-4.5-Air delivers competitive performance with a score of 59.8 across 12 industry-standard benchmarks, ranking 6th overall while maintaining superior efficiency. It supports 128K context length and is released under MIT open-source license allowing commercial use.

Date de sortie
2025-07-28
Paramètres
106.0B
Longueur du contexte
131K
Modalités
text

Radar de capacités

35
general
60
coding
79
reasoning
45
science
70
agents
0
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique86
42.0
LS
Classement codage203
54.0
AA
Classement général291
45.0
AA
Science292
46.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v376.4%Aut.
Terminal-Bench30.0%Aut.
BrowseCompOpenAI (2025)21.3%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)75.0%Aut.
SciCode37.3%Aut.

Code

LiveCodeBench70.7%Aut.
SWE-Bench Verified57.6%Aut.

Communication

TAU-bench Retail77.9%Aut.
TAU-bench Airline60.8%Aut.

Finance

MMLU-Pro81.4%Aut.

General

AA-Index64.8%Aut.

Math

MATH-50098.1%Aut.
AIME 202489.4%Aut.
Humanity's Last Exam10.6%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Math Index(Artificial Analysis)
80.7
Intelligence Index(Artificial Analysis)
16.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime 25(MAA (Mathematical Association of America))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Aime(MAA (Mathematical Association of America))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Lcr(Artificial Analysis)
0.5
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Legal
80
Structured Output
80
Language
80
Finance
80
Healthcare
80
Communication
70
Tool Calling
70
Math
60
Physics
60
Reasoning
60
Frontend Development
60
General
60
Biology
60
Chemistry
60
Code
50
Agents
40
Search
20
Vision
10

Tarification

Prix d'entrée$0.17 / 1M tokens
Prix de sortie$0.98 / 1M tokens
Prix mixte (3:1)$0.372 / 1M tokens
Prix de lecture cache$0.03 / 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

9 fournisseurs

Moins cher: ZenMuxPlus cher: OrcaRouter
FournisseurEntréeSortie
1ZenMuxMoins cher
$0.11
$0.56
2302.AI
$0.1143
$0.286
3OpenRouter
$0.13
$0.85
4Kilo Gateway
$0.13
$0.85
5LLM Gateway
$0.13
$0.85
6Z AIPRINCIPAL
$0.17
$0.98
7Z.AI
$0.2
$1.1
8Zhipu AI
$0.2
$1.1
9OrcaRouter
$0.2
$1.1

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes