Yi-6B-Chat: benchmark scores, price and ranking

Yi-6B-Chat from 01-ai ranks #645 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.3), based on 1 benchmark results captured up to 2026-10-13.

Organisation: 01-ai
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #645 of 743 (score 44.3)

Across the 1 benchmark where at least ten models are scored, Yi-6B-Chat is in the top 10% on 0 and in the top half on 0.

Yi-6B-Chat benchmark results

Yi-6B-Chat benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	28.8%	#121 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About Yi-6B-Chat

Yi-6B-Chat is an open-weight model that can run on your own hardware from 01-ai. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Yi-6B-Chat stands

On our aggregate score, Yi-6B-Chat is #645 of 743 ranked models, in the lower half. Its score is 44.3; the scale is centred on 50, so it sits 5.7 points below the typical model. That beats 13% of the ranked field. Among the 3 ranked 01-ai models it is #3. The next one up is Yi-1.5-6B-Chat at 45.6.

Yi-6B-Chat, benchmark by benchmark

MMLU-Pro is a weak spot. Yi-6B-Chat scores 28.8%, #121 of 136, behind 88% of the models measured. The leader, Darwin-180B-RSI, reaches 88.1%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Yi-6B-Chat is 26.4 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#642 Qwen1.5-7B-Chat (44.3)
#643 GPT-4o (May 2024) (44.3)
#644 gpt-oss-20b (high) (44.3)
#646 Claude 3.5 Sonnet (Jun 2024) (44.2)
#647 DeepSeek-V3 (Mar 2025) (44.1)
#648 Yi-34B-Chat (44.0)