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GLM-4.7 (Reasoning)

Z AIGLMOpen WeightMIT · Commercial OK

Description

GLM 4.7 is a coding‑centric model that thinks before acting, preserves its reasoning across turns, and lets you control thinking per request for speed or accuracy. It upgrades agentic workflows with stronger multi‑step tool use, better terminal and multilingual coding, and a noticeable jump in UI output quality for modern, clean webpages and slides. You can use it in popular coding agents, call it via the Z.ai API, and even run it locally with public weights on HuggingFace and ModelScope using vLLM or SGLang.

Release Date
2025-12-22
Parameters
358.0B
Context Length
205K
Modalities
text

Capability Radar

49
general
61
coding
93
reasoning
60
science
60
agents
0
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability87
42.0
LS
Code Ranking121
69.0
AA
General Ranking70
76.0
AA
Science96
71.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau-bench87.4%SR
BrowseCompOpenAI (2025)52.0%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)41.0%SR
Terminal-Bench33.3%SR

Biology

GPQANYU + Cohere + Anthropic (2023)85.7%SR

Code

SWE-Bench Verified73.8%SR
SWE-bench Multilingual66.7%SR

Finance

MMLU-Pro84.3%SR

General

LiveCodeBench v684.9%SR

Math

AIME 202595.7%SR
IMO-AnswerBench82.0%SR
Humanity's Last Exam42.8%SR

Reasoning

BrowseComp-zh66.6%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
95.0
Coding Index(Artificial Analysis)
45.3
Intelligence Index(Artificial Analysis)
34.5
Tau2(Sierra + U Toronto + Vector Institute (2025))
1.0
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.9
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.7
Terminalbench V2 1
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.3
Tau Banking
0.1

LLM Stats Category Scores

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Legal
80
Math
80
Language
80
Finance
80
Healthcare
80
Reasoning
70
Frontend Development
70
General
70
Search
60
Tool Calling
60
Agents
50
Code
50
Vision
40

Pricing

Input Price$0.6 / 1M tokens
Output Price$2.2 / 1M tokens
Blended Price (3:1)$1 / 1M tokens
Cache Read Price$0.11 / 1M tokens
Cache Write PriceFree

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

10 providers

Cheapest: CrofAIMost Expensive: Moark
ProviderInputOutput
1CrofAICheapest
$0.25
$1.1
2302.AI
$0.286
$1.142
3LLM Gateway
$0.38
$1.98
4DInference
$0.45
$1.65
5Z AIPRIMARY
$0.6
$2.2
6Z.AI
$0.6
$2.2
7OpenCode Zen
$0.6
$2.2
8Zhipu AI
$0.6
$2.2
9Cortecs
$0.78
$2.785
10Moark
$3.5
$14

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis