Vals Web Search Index (Web Search Index)
We show this table for reference; we do not rank on it.
A Vals AI comparison of native provider search and Exa across finance-analysis and legal-research tasks.
Evaluation results published by Vals AI. Published leaderboard aggregates and evaluation settings only. Dataset contents are not included.
Web Search Index score on Web Search Index — November 4, 2026
We mirror the published web search index score view for Web Search Index. Claude Opus 5.5 Parallel Fast leads the public snapshot at 57.54%, followed by Claude Opus 5.5 Parallel Advanced (54.05%) and Claude Opus 5.5 (53.75%). We do not use these results to rank models overall.
Claude Opus 5.5 Parallel Fast
Anthropic
Parallel Fast
Parallel Fast
Claude Opus 5.5 Parallel Advanced
Anthropic
Parallel Advanced
Parallel Advanced
Claude Opus 5.5
Anthropic
Native
Native
12 modelsAgenticCurrentDisplay onlyUpdated November 4, 2026
Web Search Index score table (12 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 Parallel FastAnthropicParallel FastParallel Fast | 57.54% | Not reported | Unknown |
| 2 | Claude Opus 5.5 Parallel AdvancedAnthropicParallel AdvancedParallel Advanced | 54.05% | Not reported | Unknown |
| 3 | Claude Opus 5.5AnthropicNativeNative | 53.75% | Not reported | Closed |
| 4 | GPT-5.6 Sol KeenableOpenAIKeenable · max reasoningKeenable | 49.08% | Not reported | Unknown |
| 5 | Claude Fable 5 ExaAnthropicExaExa | 48.45% | Not reported | Unknown |
| 6 | Claude Fable 5AnthropicNativeNative | 46.94% | Not reported | Closed |
| 7 | GPT-5.6 Sol ExaOpenAIExa · max reasoningExa | 45.24% | Not reported | Unknown |
| 8 | GPT-5.6 SolOpenAINative · max reasoningNative | 43.58% | Not reported | Closed |
| 9 | Gemini 3.5 Flash ExaGoogleExa · high reasoningExa | 41.36% | Not reported | Unknown |
| 10 | Grok 4.5 ExaxAIExa · high reasoningExa | 38.75% | Not reported | Unknown |
| 11 | Gemini 3.5 FlashGoogleNative · high reasoningNative | 37.04% | Not reported | Closed |
| 12 | Grok 4.5xAINative · high reasoningNative | 35.54% | Not reported | Closed |
How Web Search Index is shown here
BenchLM mirrors the public Vals AI Web Search Index leaderboard captured from https://www.vals.ai/benchmarks/web_search and updated by Vals on November 4, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Web Search Index is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
The published Web Search Index snapshot places Claude Opus 5.5 Parallel Fast first at 57.54%. The third row is 3.79 points behind. The broader top-10 range is 18.79 points, so the table still separates the published systems.
12 models have been evaluated on Web Search Index. The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Web Search Index is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Web Search Index
Year
2026
Tasks
Finance Agent Benchmark v2 and Legal Research Benchmark tasks
Format
Accuracy by model and search-tool combination
Difficulty
Professional web research with controlled search-tool variants
The index holds each model and the rest of the agent harness constant while swapping the search tool. We mirror the native and Exa rows, task scores, uncertainty, latency, and cost per task. The private dataset and tool-specific runs keep the table outside weighted model rankings.
Freshness and provenance
Version
Web Search Index 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.
Questions
What does Web Search Index measure?
A Vals AI comparison of native provider search and Exa across finance-analysis and legal-research tasks.
Which model leads the published Web Search Index snapshot?
Claude Opus 5.5 Parallel Fast currently leads the published Web Search Index snapshot with 57.54% web search index score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Web Search Index?
The November 4, 2026 snapshot contains 12 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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