TIR-Bench

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

Qwen3.6 Plus from Alibaba Cloud / Qwen Team currently leads the TIR-Bench leaderboard with a score of 0.616 across 4 evaluated AI models.

Alibaba Cloud / Qwen TeamQwen3.6 Plus leads with 61.6%, followed by Alibaba Cloud / Qwen TeamQwen3.5-27B at 59.8% and Alibaba Cloud / Qwen TeamQwen3.5-35B-A3B at 55.5%.

Progress Over Time

Interactive timeline showing model performance evolution on TIR-Bench

State-of-the-art frontier
Open
Proprietary

TIR-Bench Leaderboard

4 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
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FAQ

Common questions about TIR-Bench.

What is the TIR-Bench benchmark?

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

What is the TIR-Bench leaderboard?

The TIR-Bench leaderboard ranks 4 AI models based on their performance on this benchmark. Currently, Qwen3.6 Plus by Alibaba Cloud / Qwen Team leads with a score of 0.616. The average score across all models is 0.575.

What is the highest TIR-Bench score?

The highest TIR-Bench score is 0.616, achieved by Qwen3.6 Plus from Alibaba Cloud / Qwen Team.

How many models are evaluated on TIR-Bench?

4 models have been evaluated on the TIR-Bench benchmark, with 0 verified results and 4 self-reported results.

What categories does TIR-Bench cover?

TIR-Bench is categorized under agents, multimodal, reasoning, and tool calling. The benchmark evaluates multimodal models.

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