Vision & Language Benchmark

TIR-Bench

TIR-Bench - tool-integrated reasoning benchmark for visual mathematical problem solving. Reports with CI / without CI scores.

Category

Vision & Language

Score type

percent

Scale

relative

higher is better

Models tested

5

What is TIR-Bench?

TIR-Bench is a benchmark for understanding images combined with text. The official description says: "TIR-Bench - tool-integrated reasoning benchmark for visual mathematical problem solving". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

TIR-Bench measures understanding images combined with text. In detail, it checks:

  • answering questions about images (figures, photos, charts, memes)
  • reading text inside images and connecting it to the question
  • visual reasoning such as counting, locating and comparing objects
  • combining what is seen with general knowledge

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: TIR-Bench - tool-integrated reasoning benchmark for visual mathematical problem solving. Reports with CI / without CI scores.

Frequently asked questions

What is the TIR-Bench benchmark?

TIR-Bench is a benchmark for understanding images combined with text. The official description says: 'TIR-Bench - tool-integrated reasoning benchmark for visual mathematical problem solving'. Below we describe in simple words what benchmarks of this type generally examine.

What does TIR-Bench test?

TIR-Bench mainly measures understanding images combined with text. Concretely, it checks: answering questions about images (figures, photos, charts, memes); reading text inside images and connecting it to the question; visual reasoning such as counting, locating and comparing objects.

How is the TIR-Bench score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get TIR-Bench data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/tir-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 5 models tested

Reset
# Model Score Date Source Verified
1 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
59.8%
01.02.2026 Report Unverified
2 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
55.5%
01.02.2026 Report Unverified
3 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
53.2%
01.02.2026 Report Verified
4 Qwen3.5-4B
Qwen
38.9%
01.02.2026 Report Verified
5 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
29.8%
01.02.2026 Report Unverified

What now?

You've seen how models score on TIR-Bench — here's what to do next.