Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 44.1% higher average benchmark score. Jamba 1.5 Large offers 315.4K more tokens in context window than GLM-4.6. GLM-4.6 is $7.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. 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.
AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
1 year newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Jamba 1.5 Large
Context window and performance specifications
Average performance across 1 common benchmarks
GLM-4.6
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Jamba 1.5 Large
GLM-4.6
Jamba 1.5 Large
GLM-4.6
Jamba 1.5 Large
Bedrock