Expired50% confidenceBenchmarkExact time
Laguna S 2.1 claims to be "14× smaller and 4.5× stronger" in coding capability relative to large models such as DeepSeek V4 Pro Max
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/25/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/23/2026(expired)
Sources
Related Claims
UnverifiedDeepSeek V4 Pro's floating-point operations have been reduced to 27% of the V3.2 version (a 3.7x reduction).69% similarUnverifiedDeepSeek V4 Pro leads Qwen3.6 27B Q4 by approximately 6%, and if it had not unexpectedly underperformed on the reasoning-mathematics items, the lead could have exceeded 10%.64% similarUnverifiedLaguna S 2.1 总参数为 118B，激活参数仅 8B63% similarUnverifiedQwen3.5's parameter activation rate is 4.3%, while DeepSeek V3's 671B model has an activation rate of 5.5%.63% similarUnverifiedDeepSeek V4 Pro achieved a score of 3206 on CodeForces and a pass rate of 95.2% on the MMT-266 benchmark.62% similar
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