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
42
general
62
coding
93
reasoning
68
science
60
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 199 | 67.0 | AA |
| General Ranking | 92 | 68.0 | AA |
| Science | 152 | 66.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))General
Tau-bench
87.4%SR
Language
MMLU-Pro
84.3%SR
Math
AIME 2025
95.7%SR
IMO-AnswerBench
82.0%SR
Reasoning
GPQANYU + Cohere + Anthropic (2023)
85.7%SR
LiveCodeBench v6
84.9%SR
SWE-Bench Verified
73.8%SR
SWE-bench Multilingual
66.7%SR
BrowseComp-zh
66.6%SR
BrowseCompOpenAI (2025)
52.0%SR
Humanity's Last Exam
42.8%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)
41.0%SR
Terminal-Bench
33.3%SR
AA Evaluation Indices
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.9
Math Index(Artificial Analysis)95.0
Aime 25(MAA (Mathematical Association of America))95.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))89.4
Gpqa(NYU + Cohere + Anthropic (2023))85.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))85.6
Lcr(Artificial Analysis)71.0
Ifbench(Google Research (2023))67.9
Terminalbench V2 145.3
Coding Index(Artificial Analysis)45.3
Terminalbench Hard(Stanford × Laude Institute (2026))31.8
Hle(Center for AI Safety + Scale AI (2025))27.4
Intelligence Index(Artificial Analysis)22.2
Tau Banking12.2
LLM Stats Category Scores
(LLM Stats (zeroeval))Physics90
Biology90
Chemistry90
Language80
Legal80
Math80
Finance80
Healthcare80
Reasoning70
Frontend Development70
General70
Search60
Tool Calling60
Agents50
Code50
Vision40
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
2 providers
Cheapest: DeepInfraMost Expensive: Z AI
ProviderInputOutput
1DeepInfraCheapest
$0
$0
2Z AIPRIMARY
$0.6
$2.2
Compare pricing across different API providers for this model.