GLM-5
The fifth-generation large language model in the GLM series, released by Zhipu AI, designed for multi-task reasoning and content generation.
Core Facts
Timeline (last 90 days)
Testing with two models from different families, Gemini 3.5 Flash and GLM-5, shows that the Harness2 method itself does not depend on specific model characteristics.
Google validated Harness2 on two models, Gemini 3.5 Flash and GLM-5, covering three types of benchmarks: legal, office, and professional work.
GLM-5.3-Flash is the first natively multimodal model in the GLM-5 series, supporting image and text input.
This 11.5-point improvement result comes only from a single source's official disclosure and currently lacks third-party reproduction.
According to official disclosures, a single refinement step alone improved GLM-5 by 11.5 points on WorkBuddy-Bench.
In simplified evaluations, mature models such as GLM-5 have already achieved complete end-to-end AI worm replication.
The free Providers that 9router supports connecting to include OpenCode Free (no authentication required), Kiro AI (OAuth, about 50 quota per month, supporting Claude 4.5, GLM-5, MiniMax), Vertex AI (OAuth, $300 credit for new GCP accounts), NVIDIA NIM (API Key), and Cloudflare Workers AI (API Key).
The benchmark covers 9 models from 6 labs, including Qwen3 235B, Claude Haiku 4.5, Claude Opus 5.5, Gemini series, GPT-5.4 series, GLM-5, and Grok 4.20, of which 4 are reasoning models.
GLM-5 identified an ambiguity in the author's early A02 prompt—receipt does not equal consumption—and the author corrected the question accordingly.
Open-source models scored lower: Qwen3 235B scored 11/12, both sizes of Gemma 4 scored 9/12, DeepSeek R1 scored 7/12, and GLM-5 scored 5/12.
9 more timeline events
All Facts (13)
The models tested include Google's Gemini 3.7 Flash, Z.ai's GLM-5, Alibaba's Qwen 3 235B A22B Instruct, and OpenAI's gpt-oss-120b, all running on Kaggle.
65%UnverifiedTesting with two models from different families, Gemini 3.5 Flash and GLM-5, shows that the Harness2 method itself does not depend on specific model characteristics.
50%UnverifiedGoogle validated Harness2 on two models, Gemini 3.5 Flash and GLM-5, covering three types of benchmarks: legal, office, and professional work.
50%UnverifiedGLM-5.3-Flash is the first natively multimodal model in the GLM-5 series, supporting image and text input.
50%UnverifiedThis 11.5-point improvement result comes only from a single source's official disclosure and currently lacks third-party reproduction.
50%UnverifiedAccording to official disclosures, a single refinement step alone improved GLM-5 by 11.5 points on WorkBuddy-Bench.
50%UnverifiedIn simplified evaluations, mature models such as GLM-5 have already achieved complete end-to-end AI worm replication.
50%UnverifiedThe free Providers that 9router supports connecting to include OpenCode Free (no authentication required), Kiro AI (OAuth, about 50 quota per month, supporting Claude 4.5, GLM-5, MiniMax), Vertex AI (OAuth, $300 credit for new GCP accounts), NVIDIA NIM (API Key), and Cloudflare Workers AI (API Key).
50%UnverifiedThe benchmark covers 9 models from 6 labs, including Qwen3 235B, Claude Haiku 4.5, Claude Opus 5.5, Gemini series, GPT-5.4 series, GLM-5, and Grok 4.20, of which 4 are reasoning models.
50%UnverifiedOpen-source models scored lower: Qwen3 235B scored 11/12, both sizes of Gemma 4 scored 9/12, DeepSeek R1 scored 7/12, and GLM-5 scored 5/12.
50%UnverifiedZhipu's GLM-5 identified itself as Gemini made by Google in a Spanish-language scenario, and after being misled by a suggestive question, identified itself as Claude made by Anthropic.
50%UnverifiedThe GLM-5 series strengthens long-text processing (supporting 128K context) and tool-calling (Function Calling) capabilities.
50%UnverifiedThe GLM-5 series supports a 128K context length and Function Calling tool invocation capability.
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