Unverified50% confidenceBenchmarkExact time
The model gave the correct answer of 34 in a multimodal image recognition test counting pencils, at a speed of 55 tokens per second at that time.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/5/2026
First Seen
Valid until: 10/19/2026
Sources
Related Entities
Related Claims
UnverifiedIn the experiment, the 27B model scored 61.0% on LiveMath when skills were written by the 4B model, whereas it scored 56.3% when it wrote the skills itself69% similarUnverifiedTo complete the 250-case test, FP8 27B took 36 minutes and 27 seconds, while Flash-Next IQ4_XS took 2 hours, 5 minutes, and 47 seconds, a difference of approximately 3.5 times.69% similarUnverifiedIn Artificial Analysis's independent evaluation, V4.1 Flash scored 39 on the Intelligence Index, surpassing the larger V4 Pro's score of 36, with a measured speed of approximately 232 tokens/second.68% similarUnverifiedA model with approximately 27B parameters achieved a score of 52 running on a laptop, demonstrating that high-quality models are penetrating edge and lightweight devices.66% similarUnverified2.4万亿参数模型在BF16精度下考虑KV Cache和激活值后实际约需1.4-1.5TB显存66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/978750API
curl https://kongchang.com/api/v1/knowledge/claims/978750MCP
get_claim(id=978750)