---
format: "aidr-story-markdown/v1"
id: "ff4342122822c5177487b7b911fb835fb8f34b62131388d3063743736e4d96db"
canonical_url: "https://aidr.today/ff434212?lang=en"
title: "GLM-5.3 Takes No. 2 Open-Weight Rank on Vals Index to Reach No. 13 Overall"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-09-01T06:14:53.000Z"
category: "Models"
topics: ["glm","open-source","coding","swe-bench","benchmark"]
source_urls: ["https://huggingnews.com/ai/update-glm-53-takes-no-2-open-weight-rank-on-vals-index-to-reach-no-13-o-f81dd090","https://x.com/ValsAI/status/2094527782261006773","https://x.com/WesRoth/status/2094643915290784223","https://x.com/ZixuanLi_/status/2094623238299021469","https://x.com/arena/status/2094440382440611935","https://x.com/dabit3/status/2094432496142467191","https://x.com/FactoryAI/status/2094465930982265012","https://x.com/FactoryAI/status/2094465943523225681"]
summary: "The GLM-5.3 AI model earned a 64.3 coding score to become the top open-weight system for programming tasks. It currently ranks 13th out of 50 models overall on the Vals Index, climbing from the 18th position held by GLM-5.2, with a total score of 57.0. The model secured the top open-weight spot for legal research and code migration and placed second for the Finance Agent v2 benchmark. Performance data shows a 95.4% score on SWE-bench and 71.5% on Terminal-Bench 2.1. Vibe Code Bench results rose 14 points to 78.1%. A performance gap remains between GLM-5.3 and Kimi K3 on difficult Terminal-Bench tasks, where GLM-5.3 scored 53.3% compared to Kimi K3's 74.4%."
---

# GLM\-5\.3 Takes No\. 2 Open\-Weight Rank on Vals Index to Reach No\. 13 Overall

> [Open the canonical story](<https://aidr.today/ff434212?lang=en>)

**Published:** 2026-09-01T06:14:53.000Z
**Category:** Models
**Topics:** glm, open\-source, coding, swe\-bench, benchmark

## Summary

The GLM\-5\.3 AI model earned a 64\.3 coding score to become the top open\-weight system for programming tasks\. It currently ranks 13th out of 50 models overall on the Vals Index, climbing from the 18th position held by GLM\-5\.2, with a total score of 57\.0\. The model secured the top open\-weight spot for legal research and code migration and placed second for the Finance Agent v2 benchmark\. Performance data shows a 95\.4% score on SWE\-bench and 71\.5% on Terminal\-Bench 2\.1\. Vibe Code Bench results rose 14 points to 78\.1%\. A performance gap remains between GLM\-5\.3 and Kimi K3 on difficult Terminal\-Bench tasks, where GLM\-5\.3 scored 53\.3% compared to Kimi K3's 74\.4%\.

## Sources

- [Story source](<https://huggingnews.com/ai/update-glm-53-takes-no-2-open-weight-rank-on-vals-index-to-reach-no-13-o-f81dd090>)
- [Story source](<https://x.com/ValsAI/status/2094527782261006773>)
- [Supporting source](<https://x.com/WesRoth/status/2094643915290784223>)
- [Supporting source](<https://x.com/ZixuanLi_/status/2094623238299021469>)
- [Story source](<https://x.com/arena/status/2094440382440611935>)
- [Supporting source](<https://x.com/dabit3/status/2094432496142467191>)
- [Supporting source](<https://x.com/FactoryAI/status/2094465930982265012>)
- [Supporting source](<https://x.com/FactoryAI/status/2094465943523225681>)