+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
IBM Granite 4.0 Tiny Preview leads with 13.5% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, IBM Granite 4.0 Tiny Preview is the stronger choice for coding tasks.
+
+
+
+
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
+
+
+
+
IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
5 months newer
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
+
+
+
+
GLM-4.6
Average Score:22.6%
+
+
+
+
IBM Granite 4.0 Tiny Preview
Average Score:36.1%(+13.5%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
IBM Granite 4.0 Tiny Preview
+
+
+
+
GLM-4.6
Avg Score:22.6%
Providers:2
+
+
+
+
IBM Granite 4.0 Tiny Preview
Avg Score:36.1%(+13.5%)
Providers:0