Vals AI multimodal composite across finance, coding, education, and mortgage-tax task families.
BenchLM mirrors the public Vals AI Vals Multimodal Index leaderboard captured from https://www.vals.ai/benchmarks/vals_multimodal_index and updated by Vals on May 19, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Vals Multimodal 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.
BenchLM mirrors the published vals multimodal index score view for Vals Multimodal Index. GPT-5.5 leads the public snapshot at 67.77% , followed by Claude Opus 4.7 (67.36%) and Gemini 3.5 Flash (62.29%). BenchLM does not use these results to rank models overall.
GPT-5.5
OpenAI
openai/gpt-5.5
Claude Opus 4.7
Anthropic
anthropic/claude-opus-4-7
Gemini 3.5 Flash
google/gemini-3.5-flash
The published Vals Multimodal Index snapshot is tightly clustered at the top: GPT-5.5 sits at 67.77%, while the third row is only 5.48 points behind. The broader top-10 spread is 20.28 points, so the benchmark still separates strong models even when the leaders cluster.
14 models have been evaluated on Vals Multimodal Index. The benchmark falls in the External benchmark mirrors category. BenchLM tracks this category separately from its weighted global scoring system, so these results are best compared on the dedicated Korean benchmark views. Vals Multimodal Index is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Finance, coding, education, and mortgage-tax components
Format
Composite score
Difficulty
Private multimodal economic-work benchmark composite
BenchLM mirrors the Vals Multimodal Index as a display-only external composite with task-level component scores preserved in the Vals snapshot.
Version
Vals Multimodal 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.
Vals AI multimodal composite across finance, coding, education, and mortgage-tax task families.
GPT-5.5 currently leads the published Vals Multimodal Index snapshot with 67.77% vals multimodal index score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
14 AI models are included in BenchLM's mirrored Vals Multimodal Index snapshot, based on the public leaderboard captured on May 19, 2026.
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