+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 39.3% higher average benchmark score. Llama 3.1 70B Instruct offers 59.4K more tokens in context window than GLM-4.6. Llama 3.1 70B Instruct is $2.20 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 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 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
1 year newer
Llama 3.1 70B Instruct
Meta
2024-07-23
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 3.1 70B Instruct
Input:$0.20
Output:$0.20($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GLM-4.6
Average Score:81.0%(+39.3%)
+
+
+
+
Llama 3.1 70B Instruct
Average Score:41.7%
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 3.1 70B Instruct
+
+
+
+
GLM-4.6
Avg Score:81.0%(+39.3%)
Providers:2
+
+
+
+
Llama 3.1 70B Instruct
Avg Score:41.7%
Providers:9