LLM Stats (MM-MT-Bench): leaderboard

Multimodal multi-turn benchmark evaluating ability to maintain context and reason across multiple conversational turns with interleaved images and text.

Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around 2032. 17 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct8.5#273
2Qwen 3 VL 235B A22B (Thinking)8.5#238 (Qwen 3 VL 235B A22B)
3Ministral-3-14B-Instruct-25128.49#615
4Qwen 3 VL 32B Instruct8.4#283
5Qwen 3 VL 32B (Thinking)8.3#294 (Qwen 3 VL 32B)
6Qwen 3 VL 30B A3B Instruct8.1#384
7Ministral-3-8B-Instruct-25128.08#661
8Qwen 3 VL 8B (Thinking)8
9Qwen 3 VL 30B A3B (Thinking)7.9#351 (Qwen 3 VL 30B A3B)
10Ministral-3-3B-Instruct-25127.83#855
11Qwen 3 VL 8B Instruct7.7#420
12Qwen 3 VL 4B (Thinking)7.7#480 (Qwen 3 VL 4B)
13Qwen 3 VL 4B Instruct7.5#515
14Qwen2.5-Omni-7B6#624

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=llm-stats-mm-mt-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.