Unverified50% confidenceBenchmarkExact time
In agentgateway's testing, qwen3.8 (27.3B, Q4_K_M quantization, 262K context) had a valid answer rate of 90.0% (54/60), an accuracy rate among answered questions of 98.1% (53/54), and an overall accuracy rate of 88.3% (53/60).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
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Related Claims
UnverifiedIn agentgateway's testing, claude-sonnet-5 had a valid answer rate of 98.3% (59/60), an accuracy rate among answered questions of 93.2% (55/59), and an overall accuracy rate of 91.7% (55/60), with a latency p50 of 1080ms, p95 of 1412ms, and a cost of $0.000704 per call.79% similarUnverifiedQwen3 27B在OpenAI HumanEval 164道Python题上取得85%通过率和99%应答率78% similarUnverifiedThe Q3_K_M quantized model's accuracy improved from 52% to 66%, representing the largest improvement.73% similarUnverifiedOn the Qwen-3.5-4B-Instruct model, the top two principal axes matched the style dimensions of human spontaneous requests with a precision of 72.8% and a macro-averaged recall of 43.6%.73% similarUnverifiedIn the request type judgment task, the ordinary qwen3:8b and qwen3.5:4b models achieved an accuracy of about 82%.72% similar
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