Unverified60% confidenceBenchmarkExact time
In the dual-bug Python function repair benchmark (215 hidden tests), omitting effort (max) consumes an average of 6,364 reasoning tokens, takes 56 seconds, and costs $0.0045 per run; effort=low consumes an average of 591 tokens, takes 9.5 seconds, and costs $0.0006 per run.
2
Sources
60%
Confidence
Short-term (~14 days)
Relevance
10/19/2026
First Seen
Valid until: 11/2/2026
Sources
Related Entities
Related Claims
UnverifiedIn a benchmark of four enterprise agent architectures under 100 injected fault conditions (transient network timeouts, schema mismatches, empty search results), the naive self-reflection loop had an unconstrained runaway rate of 42.0%, median token consumption of 148,500 for failed tasks, mean time to failure of 18.4 minutes, and per-incident financial risk of $12.40.67% similarUnverifiedAccording to Artificial Analysis's test data, the Muse Wonder model consumes about 54,000 output tokens per task on average at max effort.67% similarUnverifiedIn the experiment, the task_score under the shaped reward configuration was only 0.125, compared to 0.417 for the naive reward, with an effect size of d=4.47.65% similarUnverifiedThe author tested with 12 real listings run twice each for 24 generations in total, of which 17 were ready on the first pass, 7 entered confirm, 0 failed, with an average time of 5.5 seconds and a total cost of $0.0035.63% similarUnverifiedIn the first round of experiments, features with verified capabilities averaged 1.43, while features without verified capabilities averaged 1.14, a negligible gap; after fixing the language issues, the same comparison became 2.00 versus 1.07.63% similar
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