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DeepSeek-V4-Pro-0813 vs GLM-4.7
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| Attribute | DeepSeek-V4-Pro-0813 | GLM-4.7 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | 143 |
| Coding | 76 | 52 |
| Math | 88 | 8 |
| Reasoning & Knowledge | 69 | 36 |
| Agentic & Tools | 67 | 37 |
| Specifications | ||
| Developer | DeepSeek | Z.ai (Zhipu AI) |
| Family | DeepSeek | — |
| Released | Aug 13, 2026 | Dec 22, 2025 |
| Parameters | 1.6T | 358B |
| Availability | Open weights (unrestricted) | Open weights (unrestricted) |
| Context window | 1M | 205K |
| Price — $/M input | $0.58 | $0.60 |
| Price — $/M output | $1.74 | $2.20 |
| Inputs | text | text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 99% | 83% |
| APEX | 47% | 9% |
| ARC-AGI | 91% | — |
| ARC-AGI-2 | 61% | — |
| GPQA Diamond | 92% | 83% |
| Humanity's Last Exam | 41% | 27% |
| SciCode | 51% | 45% |
| SimpleQA Verified | 53% | 32% |
| WebDev Arena | 1581 | 1435 |
| WeirdML | 66% | — |
| FrontierMath | — | 2% |
| FrontierMath Tier 4 | — | 0% |
| LiveCodeBench | — | 89% |
| MMLU-Pro | — | 86% |
| SimpleBench | — | 48% |
| Terminal-Bench | — | 33% |
| τ²-bench | — | 96% |
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.