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GLM-4.5 vs GPT-6 Astra
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| Attribute | GLM-4.5 | GPT-6 Astra |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | — | 169 |
| Coding | 19 | 93 |
| Math | 13 | 91 |
| Reasoning & Knowledge | 18 | 98 |
| Agentic & Tools | 8 | 90 |
| Specifications | ||
| Developer | Z.ai (Zhipu AI),Tsinghua University | OpenAI |
| Family | — | GPT |
| Released | Aug 5, 2025 | Sep 3, 2026 |
| Parameters | 355B | — |
| Availability | Open weights (unrestricted) | API access |
| Context window | 131K | 1.1M |
| Price — $/M input | $0.60 | $10.00 |
| Price — $/M output | $2.20 | $50.00 |
| Inputs | text | file, image, text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 74% | 100% |
| GPQA Diamond | 78% | 96% |
| Humanity's Last Exam | 8% | 55% |
| LiveCodeBench | 74% | — |
| MMLU-Pro | 84% | — |
| SciCode | 35% | 56% |
| WeirdML | 41% | 94% |
| τ²-bench | 43% | — |
| APEX | — | 65% |
| ARC-AGI | — | 99% |
| ARC-AGI-2 | — | 95% |
| GSO (code optimization) | — | 79% |
| SimpleQA Verified | — | 76% |
| WebDev Arena | — | 1800 |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.