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GLM-4.6 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 17.3% 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, GLM-4.6 is the stronger choice for coding tasks.
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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.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
2 months newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
GLM-4.6
Zhipu AI
2025-09-30
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00($0.27 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GLM-4.6
Average Score:73.2%(+17.3%)
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Kimi K2 Instruct
Average Score:56.0%
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%
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Kimi K2 Instruct
Coding71.6%(+3.6%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi K2 Instruct
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GLM-4.6
Avg Score:73.2%(+17.3%)
Providers:2
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Kimi K2 Instruct
Avg Score:56.0%
Providers:1