A broad research-agent benchmark for open-ended information gathering, synthesis, and answer construction across wide search spaces.
As of March 2026, Claude Opus 4.5 leads the WideResearch leaderboard with 76.4% , followed by Qwen3.6 Plus (74.3%) and Qwen3.5 397B (74.0%).
Claude Opus 4.5
Anthropic
Qwen3.6 Plus
Alibaba
Qwen3.5 397B
Alibaba
According to BenchLM.ai, Claude Opus 4.5 leads the WideResearch benchmark with a score of 76.4%, followed by Qwen3.6 Plus (74.3%) and Qwen3.5 397B (74.0%). The top models are clustered within 2.4 points, suggesting this benchmark is nearing saturation for frontier models.
5 models have been evaluated on WideResearch. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. WideResearch is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Open-ended research tasks
Format
Multi-source research evaluation
Difficulty
Broad research-agent workflows
WideResearch evaluates whether a model can sustain a research process over multiple sources and branches rather than answering from shallow retrieval. BenchLM tracks it as a display-only browsing and synthesis benchmark.
Qwen3.6 launch benchmarksVersion
WideResearch 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A broad research-agent benchmark for open-ended information gathering, synthesis, and answer construction across wide search spaces.
Claude Opus 4.5 by Anthropic currently leads with a score of 76.4% on WideResearch.
5 AI models have been evaluated on WideResearch on BenchLM.
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