V-FiLLM
Harbor: pendingWhile existing benchmarks have made substantial progress in evaluating LLMs across STEM domains, financial reasoning over structured data remains comparatively less explored.
- Samples
- N/A
- Released
- 2026
- Scores
- 0
V*Bench
A Visual QA Benchmark with Detailed High-resolution Images
V Bench is a visual question & answer benchmark that evaluates MLLMs in their ability to process high-resolution and visually crowded images to find and focus on small details.
How to run
ltb · v-bench
$ npm i -g lettokenburn-cli$ ltb bench pull v-bench --n 50$ ltb bench run ./v-bench -a claude-code -m anthropic/claude-opus-4-8$ ltb bench push
License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
3 sourced entries| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| LLaVA-OneVision7B w. FOCUS | 92.2 | N/A | Independent | medium | Jun 25, 2025 | arxiv.org |
| LLaVA-OneVision7B w. ZoomEye | 90.6 | N/A | Independent | medium | Nov 25, 2024 | arxiv.org |
| LLaVA-OneVision7B | 74.5 | N/A | Independent | medium | Aug 6, 2024 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
All runsLoading community runs…
About
V*Bench is a visual question & answer benchmark that evaluates MLLMs in their ability to process high-resolution and visually crowded images to find and focus on small details.