GLM-5 (Reasoning)
According to BenchLM.ai, GLM-5 (Reasoning) ranks #17 out of 115 models on the provisional leaderboard with an overall score of 82/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the mid-tier of AI models, with strengths in specific benchmark categories.
GLM-5 (Reasoning) is a open weight model with a 200K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GLM-5 (Reasoning) sits inside the GLM-5 family alongside GLM-5, GLM-5.1, GLM-5V-Turbo, GLM-5-Turbo. This profile currently has 1 of 193 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Mathematics (#10), while its weakest is Instruction Following (#29). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#11Coding
#29Reasoning
#11Knowledge
#14Math
#10Multilingual
#19Multimodal
#23Inst. Following
#29Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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See how GLM-5 (Reasoning) stacks up against similar models
Frequently Asked Questions
How does GLM-5 (Reasoning) perform overall in AI benchmarks?
GLM-5 (Reasoning) currently ranks #17 out of 115 models on BenchLM's provisional leaderboard with an overall score of 82 (estimated). It is created by Z.AI and features a 200K context window.
Is GLM-5 (Reasoning) good for coding and programming?
GLM-5 (Reasoning) ranks #29 out of 115 models in coding and programming benchmarks with an average score of 74.7. There are stronger options in this category.
Is GLM-5 (Reasoning) open source?
Yes, GLM-5 (Reasoning) is an open weight model created by Z.AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to GLM-5 (Reasoning)?
GLM-5 (Reasoning) belongs to the GLM-5 family. Related variants on BenchLM include GLM-5, GLM-5.1, GLM-5V-Turbo, GLM-5-Turbo.
Does GLM-5 (Reasoning) have full benchmark coverage on BenchLM?
Not yet. GLM-5 (Reasoning) currently has 1 published benchmark scores out of the 193 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GLM-5 (Reasoning)?
GLM-5 (Reasoning) has a context window of 200K, which determines how much text it can process in a single interaction.
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