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Z.ai mit Released Jan 19, 2026 Updated

GLM-4.7-Flash

ToolsGuide Scores, rankings, test results and price.

Model summary

  • Text #182 / 416

    262 / 1,000

    ToolsGuide Score· votes 239, tests 289

  • Price per 1M tokens

    No listed price

Summary

GLM-4.7-Flash is Z.ai's model, released Jan 19, 2026. It's ranked in 1 category and does best at text: #182 of 416, with a ToolsGuide Score of 262 against a median of 235.

It has published results on 6 tests.

Specifications

Creator
Z.ai
Licence
mit
Released
Jan 19, 2026
Context window
–
Input price
–
Output price
–
Tests reported
6
Settings ranked
glm-4.7-flash

Model comparison

Against the ten best text models.

Text score

ToolsGuide Score out of 1,000 · Higher is better

Input price

USD per 1M input tokens · Lower is better

Leaderboards

Where GLM-4.7-Flash sits among the top 20 in each category.

Text

#182 of 416 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full text leaderboard →

By task

Scored from votes on each kind of prompt alone, on the same 1,000-point scale.

Against its nearest rivals

Text prompts by kind · ToolsGuide Score from votes · hover for values

Text

glm-4.7-flash · hover a bar for its rank

Test results

Every test GLM-4.7-Flash has a published result on, out of 100%, with its rank among the models that took it.

  • GPQA

    #122 / 256

    Graduate-level science questions written to be hard to look up.

    75.2%

    Self-reported

  • AIME 2025

    #43 / 123

    Competition maths problems from the 2025 American Invitational Mathematics Exam.

    91.6%

    Self-reported

  • SWE-Bench Verified

    #93 / 120

    Fixing real bugs in real GitHub projects, checked by the projects' own tests.

    59.2%

    Self-reported

  • Humanity's Last Exam

    #87 / 108

    Humanity's Last Exam (HLE) is a multi-modal academic benchmark with 2,500 questions across mathematics, humanities, and natural sciences, designed to test LLM capabilities at the frontier of human knowledge with unambiguous, verifiable solutions

    14.4%

    Self-reported · In the text score· In the vision score

  • BrowseComp

    #60 / 68

    Finding hard-to-locate facts by browsing the web.

    42.8%

    Self-reported · In the agents score

  • Tau-bench

    #4 / 6

    τ-bench: A benchmark for tool-agent-user interaction in real-world domains. Tests language agents' ability to interact with users and follow domain-specific rules through dynamic conversations using API tools and policy guidelines across retail and airline domains. Evaluates consistency and reliability of agent behavior over multiple trials.

    79.5%

    Self-reported