Yi 6B: benchmark scores, price and ranking

Yi 6B from 01.AI ranks #654 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.0), based on 2 benchmark results captured up to 2026-10-13.

Organisation
01.AI
Type
Open-weight / local model
Open weights
Yes
Released
2023-11-22 (source: epoch)
Aggregate rank
#654 of 743 (score 44.0)

Across the 2 benchmarks where at least ten models are scored, Yi 6B is in the top 10% on 0 and in the top half on 0.

Yi 6B benchmark results

Yi 6B benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Epoch ECI105#172 of 204Epoch AI Benchmarking Hub2026-10-13
MMLU-Pro26.5%#122 of 136HuggingFace MMLU-Pro leaderboard2026-10-13

About Yi 6B

Yi 6B is an open-weight model that can run on your own hardware from 01.AI. It was released on 2023-11-22, according to Epoch AI. No API price is listed for it yet. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Yi 6B stands

On our aggregate score, Yi 6B is #654 of 743 ranked models, in the lower half. Its score is 44.0; the scale is centred on 50, so it sits 6.0 points below the typical model. That beats 12% of the ranked field. Among the 4 ranked 01.AI models it is #4. The next one up is Yi-34B-Chat at 44.0.

Yi 6B, benchmark by benchmark

Epoch ECI is a weak spot. Yi 6B scores 105, #172 of 204, behind 84% of the models measured. The leader, Qwen 3.8 Max, reaches 156. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Yi 6B is 23 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

MMLU-Pro is a weak spot. Yi 6B scores 26.5%, #122 of 136, behind 89% 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 is 28.7 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Strengths and weaknesses

Yi 6B has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Release history

The 01.AI model released before it was Yi-34B-Chat on 2023-11-22, which scores 44.0. The next one was Yi-1.5-34B-Chat on 2024-05-13, at 44.4.

Reading these numbers

The 2 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (1), HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works