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Gemini 3.7 Flash vs GLM-4.6
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| Attribute | Gemini 3.7 Flash | GLM-4.6 |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 157 | 141 |
| Coding | 91 | 18 |
| Math | 80 | 20 |
| Reasoning & Knowledge | 85 | 22 |
| Agentic & Tools | 98 | 10 |
| Specifications | ||
| Developer | Google DeepMind | Z.ai (Zhipu AI),Tsinghua University |
| Family | Gemini | — |
| Released | Aug 13, 2026 | Sep 30, 2025 |
| Parameters | — | 357B |
| Availability | API access | Open weights (unrestricted) |
| Context window | 1M | 205K |
| Price — $/M input | $0.75 | $0.55 |
| Price — $/M output | $3.75 | $2.20 |
| Inputs | text, image, video, file, audio | text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 97% | 86% |
| APEX | 68% | 4% |
| ARC-AGI | 96% | — |
| ARC-AGI-2 | 85% | — |
| GPQA Diamond | 95% | 78% |
| Humanity's Last Exam | 39% | 14% |
| SciCode | 60% | 38% |
| SimpleQA Verified | 69% | — |
| WebDev Arena | 1587 | 1341 |
| FrontierMath | — | 4% |
| FrontierMath Tier 4 | — | 2% |
| LiveCodeBench | — | 70% |
| MMLU-Pro | — | 83% |
| Terminal-Bench | — | 25% |
| τ²-bench | — | 70% |
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.