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 | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 95 | 39.0 | LS |
| Code Ranking | 470 | 14.0 | AA |
| General Ranking | 261 | 47.0 | AA |
| Science | 428 | 30.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Tau-bench
79.5%SR
BrowseCompOpenAI (2025)
42.8%SR
Biology
GPQANYU + Cohere + Anthropic (2023)
75.2%SR
Code
SWE-Bench Verified
59.2%SR
Math
AIME 2025
91.6%SR
Humanity's Last Exam
14.4%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))Physics80
Biology80
Chemistry80
Tool Calling80
Reasoning60
Frontend Development60
General60
Agents60
Code60
Math50
Search40
Vision10
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.