internlm3-8b-instruct: benchmark scores, price and ranking

internlm3-8b-instruct from internlm ranks #378 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.2), based on 1 benchmark results captured up to 2026-10-13.

Organisation
internlm
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#378 of 743 (score 48.2)

Across the 1 benchmark where at least ten models are scored, internlm3-8b-instruct is in the top 10% on 0 and in the top half on 1.

internlm3-8b-instruct benchmark results

internlm3-8b-instruct benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
MMLU-Pro57.6%#65 of 136HuggingFace MMLU-Pro leaderboard2026-10-13

About internlm3-8b-instruct

internlm3-8b-instruct 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 internlm3-8b-instruct stands

On our aggregate score, internlm3-8b-instruct is #378 of 743 ranked models, around the middle of the table. Its score is 48.2; the scale is centred on 50, so it sits 1.8 points below the typical model. That beats 49% of the ranked field. Among the 7 ranked internlm models it is #4. The next one up is internlm2_5-7b-chat at 48.9. The next one down is internlm2-chat-20b at 46.7.

internlm3-8b-instruct, benchmark by benchmark

MMLU-Pro puts internlm3-8b-instruct at 57.6%, #65 of 136. That beats 52% of the models tested, but 30.5 points short of Darwin-180B-RSI (88.1%). The results either side are MiMo-7B-RL (58.6%) and ERNIE-4.5-21B-A3B-Base-PT (56.7%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so internlm3-8b-instruct is 2.3 points above 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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Compare it on the live leaderboard → · How the aggregate score works