GLM-4.6
Multimodal
Zero-eval
#1LiveCodeBench v6
#2HLE
by Zhipu AI
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About
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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Pricing Range
Input (per 1M)$0.60 -$0.60
Output (per 1M)$2.00 -$2.00
Providers2
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Timeline
AnnouncedSep 30, 2025
ReleasedSep 30, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
7 benchmarks
Average Score
61.2%
Best Score
93.9%
High Performers (80%+)
3Performance Metrics
Max Context Window
196.6KAvg Throughput
85.0 tok/sAvg Latency
1ms+
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All Benchmark Results for GLM-4.6
Complete list of benchmark scores with detailed information
| AIME 2025 | text | 0.94 | 93.9% | Self-reported | |
| LiveCodeBench v6 | text | 0.83 | 82.8% | Self-reported | |
| GPQA | text | 0.81 | 81.0% | Self-reported | |
| SWE-Bench Verified | text | 0.68 | 68.0% | Self-reported | |
| BrowseComp | text | 0.45 | 45.1% | Self-reported | |
| Terminal-Bench | text | 0.41 | 40.5% | Self-reported | |
| HLE | multimodal | 0.17 | 17.2% | Self-reported |
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