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multimodal benchmark

TIR-Bench

A tool-calling and multimodal interaction benchmark for testing visual instruction following and execution reliability.

Updated Aug 11, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

TIR-Bench Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

01ACQwen3.6 PlusAlibaba Cloud / Qwen Team61.6%100.0%4CAug 11, 2026
02ACQwen3.5-27BAlibaba Cloud / Qwen Team59.8%66.7%4CAug 11, 2026
03ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team55.5%33.3%4CAug 11, 2026
04ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team53.2%0.0%4CAug 11, 2026

TIR-Bench Score Distribution

A closer view of the leading scores on this benchmark.

TIR-Bench

TIR-Bench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.6 Plus61.6%Rank #2Qwen3.5-27B59.8%Rank #3Qwen3.5-35B-A3B55.5%Rank #4Qwen3.5-122B-A10B53.2%

What is TIR-Bench?

What TIR-Bench measures and how its scores work.

A tool-calling and multimodal interaction benchmark for testing visual instruction following and execution reliability.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
TIR-Bench
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
tir-bench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about TIR-Bench.

Which model scores highest on TIR-Bench?

Qwen3.6 Plus is currently ranked first with 61.6%.

What does TIR-Bench measure?

A tool-calling and multimodal interaction benchmark for testing visual instruction following and execution reliability.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.