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GLM-4.7-Flash (Non-reasoning)

Z AIGLMOpen WeightMIT · Commercial OK

Description

GLM-4.7-Flash is a high-speed, cost-efficient variant of GLM-4.7 optimized for fast inference and lower latency. It retains the coding-centric capabilities of GLM-4.7 including thinking before acting, preserved reasoning across turns, and per-request thinking control for speed or accuracy trade-offs. Ideal for applications requiring quick responses while maintaining strong performance on coding, agentic workflows, and general reasoning tasks.

Release Date
2026-01-19
Parameters
30.0B
Context Length
200K
Modalities
text

Capability Radar

13
general
26
coding
45
reasoning
30
science
80
agents
0
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability95
39.0
LS
Code Ranking470
14.0
AA
General Ranking261
47.0
AA
Science428
30.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau-bench79.5%SR
BrowseCompOpenAI (2025)42.8%SR

Biology

GPQANYU + Cohere + Anthropic (2023)75.2%SR

Code

SWE-Bench Verified59.2%SR

Math

AIME 202591.6%SR
Humanity's Last Exam14.4%SR

AA Evaluation Indices

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
15.6
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Ifbench(Google Research (2023))
0.5
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Physics
80
Biology
80
Chemistry
80
Tool Calling
80
Reasoning
60
Frontend Development
60
General
60
Agents
60
Code
60
Math
50
Search
40
Vision
10

Pricing

Input Price$0.07 / 1M tokens
Output Price$0.4 / 1M tokens
Blended Price (3:1)$0.153 / 1M tokens
Cache Read PriceFree
Cache Write PriceFree

Speed

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

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1Z AIPRIMARY
$0.07
$0.4

Compare pricing across different API providers for this model.

External Sources