+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 52.5% higher average benchmark score. Kimi K2 Instruct offers 65.5K more tokens in context window than GLM-4.6. Both models have similar pricing. GLM-4.6 supports multimodal inputs. Overall, Kimi K2 Instruct 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.
+
+
+
+
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
2 months newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
GLM-4.6
Zhipu AI
2025-09-30
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.6
Input:$0.60
Output:$2.00($0.27 cheaper)
+
+
+
+
Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
+
+
+
+
GLM-4.6
Average Score:11.6%
+
+
+
+
Kimi K2 Instruct
Average Score:64.0%(+52.5%)
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
+
+
+
+
Kimi K2 Instruct
+
+
+
+
GLM-4.6
Avg Score:11.6%
Providers:2
+
+
+
+
Kimi K2 Instruct
Avg Score:64.0%(+52.5%)
Providers:1