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GLM-4.6 vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 5.2% higher average benchmark score. Kimi K2 0905 offers 327.7K 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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
25 days newer
Kimi K2 0905
Moonshot AI
2025-09-05
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($0.50 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+5.2%)
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Kimi K2 0905
Average Score:75.8%
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 0905
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GLM-4.6
Avg Score:81.0%(+5.2%)
Providers:2
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Kimi K2 0905
Avg Score:75.8%
Providers:2