VLMBench B
AI benchmark · Coding
- Publisher
- Turing
- Domains
- Coding
- On X
- @turingcom ↗
- Tier
- B why
- Snapshot
Latest from Turing on X
@turingcom ↗What is VLMBench?
VLMBench measures vision-language models on open-ended, image-based real-world business and STEM questions, such as finance, engineering, physics and math, scored by an LLM judge.
“Subject: Finance (Business)Persona: Financial AdvisorCapability: Numerical Reasoning”
vlm-bench.turing.com/ ↗“Tasks that are relevant to real-world applications in the workflow of business professionals, and help them make better decisions.”
vlm-bench.turing.com/ ↗“Subject: Physics (STEM)Persona: Science CuratorCapability: Numerical Reasoning”
vlm-bench.turing.com/ ↗“Introducing a challenging benchmark for vision-language models, focused on real-world tasks with practical applications.”
vlm-bench.turing.com/ ↗
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 5 models scored
- built by Turing
- in curated RL directories (4 pts)
How we got to tier B
- Adoption: 5 models scored; built by Turing. Tier C.
- Not yet read on X.
- In curated RL directories: 4 points, a floor of B. Raised to B.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where VLMBench sits
Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.