internlm2-math-plus-7b: benchmark scores, price and ranking

internlm2-math-plus-7b from internlm ranks #617 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.9), based on 1 benchmark results captured up to 2026-10-13.

Organisation: internlm
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #617 of 743 (score 44.9)

Across the 1 benchmark where at least ten models are scored, internlm2-math-plus-7b is in the top 10% on 0 and in the top half on 0.

internlm2-math-plus-7b benchmark results

internlm2-math-plus-7b benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	33.5%	#114 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About internlm2-math-plus-7b

internlm2-math-plus-7b is an open-weight model that can run on your own hardware from internlm. 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 internlm2-math-plus-7b stands

On our aggregate score, internlm2-math-plus-7b is #617 of 743 ranked models, in the lower half. Its score is 44.9; the scale is centred on 50, so it sits 5.1 points below the typical model. That beats 17% of the ranked field. Among the 7 ranked internlm models it is #7. The next one up is internlm2-math-plus-20b at 45.4.

internlm2-math-plus-7b, benchmark by benchmark

MMLU-Pro is a weak spot. internlm2-math-plus-7b scores 33.5%, #114 of 136, behind 83% 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 internlm2-math-plus-7b is 21.8 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.

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