+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 23.8% higher average benchmark score. Llama 4 Scout offers 19.8M more tokens in context window than GLM-4.6. Llama 4 Scout is $2.22 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Overall, GLM-4.6 is the stronger choice for coding tasks.
+
+
+
+
Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
+
+
+
+
Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
5 months newer
Llama 4 Scout
Meta
2025-04-05
GLM-4.6
Zhipu AI
2025-09-30
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.6
Input:$0.60
Output:$2.00
+
+
+
+
Llama 4 Scout
Input:$0.08
Output:$0.30($2.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GLM-4.6
Average Score:81.0%(+23.8%)
+
+
+
+
Llama 4 Scout
Average Score:57.2%
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
+
+
+
+
Llama 4 Scout
+
+
+
+
GLM-4.6
Avg Score:81.0%(+23.8%)
Providers:2
+
+
+
+
Llama 4 Scout
Avg Score:57.2%
Providers:6