Unverified50% confidenceBenchmarkExact time
The same open model, gpt-oss-120b, scored anywhere from 63.9% to 78.0% on the same 800 tasks depending on the four different hosting providers.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
Unverifiedgpt-oss-120b scored 0.625, lower than gpt-oss-20b's 0.720, indicating that a larger model does not necessarily mean a safer one.72% similarUnverifiedOn gpt-oss-120B, the conformity rate in the Asch conformity experiment under blind testing conditions was 0%, while the conformity rate rose to 83.3% when the paradigm was explicitly named.70% similarUnverifiedMainstream GPU inference solutions based on the NVIDIA H100 can typically only achieve tens to one or two hundred tokens per second on models of equivalent scale.69% similarUnverifiedTaking GPT-MoE as an example, if the total number of experts is 64 and each token only activates Top-2, the actual computation can be reduced by approximately 97% compared to a Dense model of equivalent scale68% similarUnverified服务同等数量的并发用户，超大模型所需的GPU集群规模可能是同等智能水平小模型的5至10倍68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1064719API
curl https://kongchang.com/api/v1/knowledge/claims/1064719MCP
get_claim(id=1064719)