MiMo-7B-Base: benchmark scores, price and ranking

MiMo-7B-Base from XiaomiMiMo ranks #541 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation: XiaomiMiMo
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #541 of 743 (score 46.0)

Across the 1 benchmark where at least ten models are scored, MiMo-7B-Base is in the top 10% on 0 and in the top half on 0.

MiMo-7B-Base benchmark results

MiMo-7B-Base benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	41.9%	#94 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About MiMo-7B-Base

MiMo-7B-Base is an open-weight model that can run on your own hardware from XiaomiMiMo. 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 MiMo-7B-Base stands

On our aggregate score, MiMo-7B-Base is #541 of 743 ranked models, in the lower half. Its score is 46.0; the scale is centred on 50, so it sits 4.0 points below the typical model. That beats 27% of the ranked field. Among the 3 ranked XiaomiMiMo models it is #2. The next one up is MiMo-7B-RL at 48.3. The next one down is MiMo-V2-Flash at 45.6.

MiMo-7B-Base, benchmark by benchmark

MiMo-7B-Base lands below the middle on MMLU-Pro: 41.9%, #94 of 136, with 68% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Mathstral-7B-v0.1 at 42.0%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so MiMo-7B-Base is 13.4 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

#538 Claude Sonnet 4 (unknown thinking) (46.1)
#539 gemma2:27b-instruct-q8_0 (46.1)
#540 Mathstral-7B-v0.1 (46.1)
#542 open-mixtral-8x22b (46.0)
#543 SWE-1.6 (46.0)
#544 claude-opus-4-1-20250805_32K (46.0)