Unverified50% confidenceBenchmarkExact time
NVIDIA's FP4 version of Qwen3.8 achieves 91.5% accuracy on GPQA Diamond, versus 92.2% for the BF16 baseline, a difference of 0.7 percentage points.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedIn the GPQA-Diamond xhigh test, the base model Qwen3.8-27B achieves 88.4% accuracy consuming 6,642 median tokens, while Swift maintains 88.3% accuracy with tokens reduced to 2,77178% similarUnverifiedVendor-reported data shows that Kimi K3 scores 93.5 on GPQA Diamond and 76.8 on SWE-bench Verified; DeepSeek V4.1 Flash reports a score of 90.6 on Terminal-Bench 2.1.75% similarUnverifiedVIDRAFT achieved 93.43% in the sub-500B parameter category on GPQA Diamond.74% similarUnverifiedOfficial model card scores for Qwen3.8-27B: GPQA Diamond 89.2, LiveCodeBench v6 90.3, SWE-bench Pro 61.7, Terminal Bench 2.1 73.0; Artificial Analysis Intelligence Index score of 52, on par with GPT-5.6 Luna, and just one point below GLM-5.2 (753B) and DeepSeek V4 Pro (1.7T).72% similarUnverifiedThe IQ3S tier scores 92.93 on GPQA Diamond (vs. BF16 baseline 91.92), 86.86 on LiveCodeBench V6 (vs. 87.43), with a three-task average of 93.26 vs. 93.12, and a file size less than one quarter of BF16 (approximately 22%).71% similar
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