Unverified50% confidenceBenchmarkExact time
Re-running on the Llama-3.x series, all 12 configurations likewise failed to qualify (12/12).
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLlama was released by Meta, and from the Llama 1 to the Llama 3 series, parameter scales range from 7B to 405B61% similarUnverifiedIn the new version of the 24-point problem (numbers 2, 7, 8, 10, requiring three different solutions), DeepSeek V4.1 Flash got all three solutions wrong, each violating the constraint that each number can only be used once.61% similarUnverifiedAll three models (Sol, Luna, and DeepSeek) failed to accurately reproduce multi-image layouts, which was a common shortcoming.57% similarUnverifiedAmong all 16 configurations across 4 tasks × 4 models, not a single one passed the qualification threshold.54% similarUnverifiedIf Gemma 3 12B frequently makes errors on structured output, it is recommended to switch to the Qwen 2.5 series or Llama 3.1 8B/70B, as they have better native support for Function Calling.54% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/966721API
curl https://kongchang.com/api/v1/knowledge/claims/966721MCP
get_claim(id=966721)