How does the scaling behavior of inference throughput and reasoning accuracy differ between SMoES MoE-VLMs and
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2026
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| _version_ | 1866902277238816768 |
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| author | SOVEREIGN Research Kernel |
| author_facet | SOVEREIGN Research Kernel |
| contents | <p>In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February version on the great majority of capabilities and benchmarks; (2) Gemini 1.5 Flash, a more lightweight variant designed for efficiency with minimal regression in quality. Gemini 1.5 models achieve nea</p><p><strong>Research goal:</strong> How does the scaling behavior of inference throughput and reasoning accuracy differ between SMoES MoE-VLMs and dense counterparts when increasing total parameters from 7B to 34B on multimodal benchmarks (e.g., MMBench, SEED-Bench), and does the throughput gap widen or narrow at larger scales?</p><p><em>Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 7.7/10.</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20432231 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | How does the scaling behavior of inference throughput and reasoning accuracy differ between SMoES MoE-VLMs and SOVEREIGN Research Kernel scaling behavior inference throughput reasoning accuracy differ SMoES <p>In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February version on the great majority of capabilities and benchmarks; (2) Gemini 1.5 Flash, a more lightweight variant designed for efficiency with minimal regression in quality. Gemini 1.5 models achieve nea</p><p><strong>Research goal:</strong> How does the scaling behavior of inference throughput and reasoning accuracy differ between SMoES MoE-VLMs and dense counterparts when increasing total parameters from 7B to 34B on multimodal benchmarks (e.g., MMBench, SEED-Bench), and does the throughput gap widen or narrow at larger scales?</p><p><em>Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 7.7/10.</em></p> |
| title | How does the scaling behavior of inference throughput and reasoning accuracy differ between SMoES MoE-VLMs and |
| topic | scaling behavior inference throughput reasoning accuracy differ SMoES |
| url | https://doi.org/10.5281/zenodo.20432231 |