instruction following benchmark
Doubao Multi-Turn Bench evaluates models on multi-turn conversational tasks, measuring context retention, instruction following, and coherent reasoning across extended dialogues.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score52.5% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score49.0% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis doubao multi-turn bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Seed 2.1 Pro currently leads Doubao Multi-Turn Bench with 52.5%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What Doubao Multi-Turn Bench measures and how its scores work.
Doubao Multi-Turn Bench evaluates models on multi-turn conversational tasks, measuring context retention, instruction following, and coherent reasoning across extended dialogues.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Doubao Multi-Turn Bench.
Seed 2.1 Pro is currently ranked first with 52.5%.
Doubao Multi-Turn Bench evaluates models on multi-turn conversational tasks, measuring context retention, instruction following, and coherent reasoning across extended dialogues.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.