Vals Index
A comprehensive large language model evaluation leaderboard published by Vals AI, ranking multiple models according to their measured capabilities across various benchmarks.
Core Facts
Timeline (last 90 days)
Most Vals Index questions come from real work scenarios and require models to complete multi-step reasoning, data verification, and compliance judgments, unlike the general-purpose MMLU or GSM8K.
Vals Index is a benchmark released by third-party evaluation organization Vals, specifically measuring AI model performance on highly professional white-collar tasks such as finance, programming, law, and tax.
Gemini 4 Argon ranks first on the Vals Index knowledge-work leaderboard, and its cost is significantly lower than the second- and third-place entries.
Vals Index is a comprehensive knowledge-work ranking maintained by a third party, covering multi-step tasks such as writing, analysis, and research, and is not an academic benchmark.
Gemini 4 Argon tops the Vals Index, a test covering real-work tasks across 43 models.
On the Vals Index, Argon ranks first and Opus ranks third.
Gemini 4 Argon ranks first on the independent Vals Index leaderboard with a composite score of 89.4%, surpassing Anthropic Claude 4.5 Opus (85.2%) and OpenAI o1 (84.1%).
Vals Index is a comprehensive index launched by the independent evaluation organization Vals AI, which weights and aggregates results from multiple task categories such as finance, programming, law and tax into a single score, without relying on vendor self-reported data.
The evaluation methods of leaderboards like Vals Index mostly focus on short outputs or medium-length outputs, with a single output rarely exceeding a few thousand tokens, so the capability for million-token outputs is hard to directly reflect in leaderboard scores.
Vals Index is a comprehensive large-model evaluation leaderboard, typically covering multi-dimensional tasks such as reasoning, knowledge, programming, and mathematics, and giving rankings in the form of weighted scores.
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All Facts (9)
Gemini 4 Argon scored 91% on LV Bench (video/long-content understanding), setting a new record.
70%UnverifiedMost Vals Index questions come from real work scenarios and require models to complete multi-step reasoning, data verification, and compliance judgments, unlike the general-purpose MMLU or GSM8K.
50%UnverifiedVals Index is a benchmark released by third-party evaluation organization Vals, specifically measuring AI model performance on highly professional white-collar tasks such as finance, programming, law, and tax.
50%UnverifiedGemini 4 Argon ranks first on the Vals Index knowledge-work leaderboard, and its cost is significantly lower than the second- and third-place entries.
50%UnverifiedVals Index is a comprehensive knowledge-work ranking maintained by a third party, covering multi-step tasks such as writing, analysis, and research, and is not an academic benchmark.
50%UnverifiedGemini 4 Argon tops the Vals Index, a test covering real-work tasks across 43 models.
50%UnverifiedVals Index is a comprehensive index launched by the independent evaluation organization Vals AI, which weights and aggregates results from multiple task categories such as finance, programming, law and tax into a single score, without relying on vendor self-reported data.
50%UnverifiedVals Index is a comprehensive large-model evaluation leaderboard, typically covering multi-dimensional tasks such as reasoning, knowledge, programming, and mathematics, and giving rankings in the form of weighted scores.
50%UnverifiedThe evaluation methods of leaderboards like Vals Index mostly focus on short outputs or medium-length outputs, with a single output rarely exceeding a few thousand tokens, so the capability for million-token outputs is hard to directly reflect in leaderboard scores.
50%