Best of
Models that cite what survives.
Research picks judged on knowledge benchmarks, context for source sets, and citation discipline with live web search.
Last reviewed July 16, 2026
Research work punishes confident nonsense, so the picks here weight two things: performance on hard knowledge benchmarks (GPQA, MMLU-Pro, HLE among the named ones) and the context to hold a real source set. In idapt, every one of them uses the same cited web search, and the reliable pattern is triangulation: run the question across two or three of them and cite what survives.
The picks
$5 in / $30 out per M tokens · 1.1M context
Top-lane results on the hard knowledge benchmarks with strong tool use, which is what turns web search into cited, checkable answers.
Best for: Hard questions where the first answer has to be right.
$5 in / $25 out per M tokens · 1M context
Distinguishes what a source says from what it implies, and says so; the model to hand a contested question.
Best for: Source-critical analysis and literature reviews.
$2 in / $12 out per M tokens · 1.0M context
The context window to hold dozens of papers at once, so synthesis draws on everything rather than a retrieved slice.
Best for: Synthesis across large source sets.
$0.78 in / $3.90 out per M tokens · 262K context
Extended reasoning at open-weight economics; a strong second opinion that is cheap enough to run on every question.
Best for: Routine triangulation and second opinions.
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