Agents-X/TIR-Bench
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning Introduction: TIR-Bench is a comprehensive benchmark designed to evaluate the "thinking-with-images" capabilities of Multimodal Large Language Models (MLLMs), addressing a gap left by existing benchmarks like Visual Search which only test basic operations. As models like OpenAI o3 begin to intelligently create and operate tools to transform images for problem-solving, TIR-Bench… See the full description on the dataset page: https://huggingface.co/datasets/Agents-X/TIR-Bench.
| Author / organization | Agents-X |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 332 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 30 October 2025 |
| Last updated at source | 20 December 2025 |
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- 16 Oct 2026 Description: TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning Introduction: TIR-Bench is a comprehensive benchmark designed to evaluate the "thinking-with-images" capabilities of Multimodal Large Language Models (MLLMs), a → TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning Introduction: TIR-Bench is a comprehensive benchmark designed to evaluate the "thinking-with-images" capabilities of Multimodal Large Language Models (MLLMs), a
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