Raw SignalSep 25, 20261 min read1 source

Search Capability Leaderboard: 24 models ranked on web search

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Parallel has launched the Search Capability Leaderboard, a public comparison of 24 open- and closed-source models used with web search.

It reports a Search Intelligence Score based on three existing public benchmark suites and a Search Efficiency ranking based on cost among models meeting or exceeding median accuracy.

In its September 15, 2026 snapshot, Parallel reports GPT-6 (Astra) as the highest-scoring model on Search Intelligence at 70.3 and $301 per 1,000 tasks. It reports GPT-5.6 Luna as the Search Efficiency leader at 55.0 and $23 per 1,000 tasks, while DeepSeek V4.1 Flash gained 45 points when paired with search.

Evidence / sources

  1. 1parallel.ai/blog/search-leaderboard
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