DeepSearchQA
Search-oriented question answering benchmark reported in StepFun's Step 3.7 Flash launch materials.
Models ranked
3
tracked on this benchmark
Score band
95.0 – 74.6
best → lowest tracked
Snapshot trend
-18.22
May 29 → Aug 10 · 1 models
Leaderboard
Tracked models ranked by F1 (higher is better).
Notes: Model variant: Kimi K3 (max reasoning effort). Benchmark variant: DeepSearchQA F1. Harness/evaluator not disclosed by Moonshot. Source posture: Moonshot/Kimi self-reported launch table; confidence: medium because the value is vendor-reported and not independently reproduced. Recommended seed value: 95.
Configuration: High Reasoning
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: May 29, 2026