GLM-5 (Reasoning)
BenchLM is tracking GLM-5 (Reasoning), but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
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 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Its strongest category is Mathematics (#7), while its weakest is Instruction Following (#31). 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
#9Coding
#21Reasoning
#10Knowledge
#14Math
#7Multilingual
#19Multimodal
#26Inst. Following
#31Chatbot 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.
Compare This Model
See how GLM-5 (Reasoning) stacks up against similar models
Frequently Asked Questions
How does GLM-5 (Reasoning) perform overall in AI benchmarks?
BenchLM is tracking GLM-5 (Reasoning), but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
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 0 published benchmark scores out of the 152 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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