Unverified50% confidenceFactExact time
Parameter count does not reliably predict indexing speed: EmbeddingGemma-300M indexes more slowly than the larger BGE-M3 (315.0 vs 433.0 chunks per second).
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn a model comparison test, qwen2.5:3b correctly understood pace, produced 0 hallucinated place names, had a length error of 0.3%, peak memory of 259 MB, and took 106 seconds.68% similarUnverifiedThe 26-billion-parameter Gemma (MoE) achieved a measured speed of nearly 31 tokens/second, about one-third faster than GPT-OSS 20B.67% similarUnverified作者在M3 Max上实测，3.2万Token上下文长度下，矮星每秒生成26.7个Token（作者自测数据，非第三方评测）65% similarUnverifiedOn pure reasoning tasks, Qwen3 27B scores only 30.8 on HLE, notably behind Opus's score of 40.0.65% similarUnverifiedAccording to CoreWeave's comparison chart, Rubin holds approximately a 3x advantage over the GB200 at the slow end, climbing to more than 7x at the fast end65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1018771API
curl https://kongchang.com/api/v1/knowledge/claims/1018771MCP
get_claim(id=1018771)