Unverified50% confidenceBenchmarkExact time
In agentgateway's testing, nemotron-3.5-lightning (32.9B sparse MoE, 1M context) had a valid answer rate of 45.0% (27/60), an accuracy rate among answered questions of 100% (27/27), and an overall accuracy rate of 45.0% (27/60).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedIn 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).70% similarUnverifiedIn 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.66% similarUnverified在覆盖九大维度共403道题的测试中，Muse-Glimmer-30B综合均分为76.04，比Corpus 3.6 27B的75.57高出0.47分64% similarUnverifiedThe locally run Gemma 26B achieved an accuracy of only 49.2% across 453 scored predictions, while its paired always-predict-up baseline had an accuracy of 53.4%.63% similarUnverifiedMuse Glimmer 30B is reported to achieve 74.9 tokens per second on an RTX 5090, and reviewers observed approximately 60–65 tokens/sec running the full-precision version on an RTX 3090.63% similar
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