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GLM-4.6 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 22.0% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. 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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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
3 months newer
Magistral Small 2506
Mistral AI
2025-06-10
GLM-4.6
Zhipu AI
2025-09-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.6
Average Score:87.5%(+22.0%)
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Magistral Small 2506
Average Score:65.5%
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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Magistral Small 2506
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GLM-4.6
Avg Score:87.5%(+22.0%)
Providers:2
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Magistral Small 2506
Avg Score:65.5%
Providers:0