Benchmark profile
WideResearch
A broad research-agent benchmark for open-ended information gathering, synthesis, and answer construction across wide search spaces.
Data verifiedBenchmark score on WideResearch — July 23, 2026
BenchLM mirrors the published score view for WideResearch. Kimi K2.6 leads the public snapshot at 80.8% , followed by Claude Opus 4.5 (76.4%) and Qwen3.6 Plus (74.3%). BenchLM does not use these results to rank models overall.
Kimi K2.6
Moonshot AI
kimi-2-6
Claude Opus 4.5
Anthropic
claude-opus-4-5
Qwen3.6 Plus
Alibaba
qwen3-6-plus
Benchmark score table (7 models)
ScoreThe published WideResearch snapshot places Kimi K2.6 first at 80.8%. The third row is 6.5 points behind. The broader top-10 range is 20.7 points, so the table still separates the published systems.
7 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.
About WideResearch
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.
BenchLM freshness & provenance
Version
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.
FAQ
What does WideResearch measure?
A broad research-agent benchmark for open-ended information gathering, synthesis, and answer construction across wide search spaces.
Which model scores highest on WideResearch?
Kimi K2.6 by Moonshot AI currently leads with a score of 80.8% on WideResearch.
How many models are evaluated on WideResearch?
7 AI models have been evaluated on WideResearch on BenchLM.
Compare Top Models on WideResearch
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.