internlm2-math-plus-20b: benchmark scores, price and ranking
internlm2-math-plus-20b from internlm ranks #587 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- internlm
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #587 of 743 (score 45.4)
Across the 1 benchmark where at least ten models are scored, internlm2-math-plus-20b is in the top 10% on 0 and in the top half on 0.
internlm2-math-plus-20b benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 37.1% | #106 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About internlm2-math-plus-20b
internlm2-math-plus-20b 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-20b stands
On our aggregate score, internlm2-math-plus-20b is #587 of 743 ranked models, in the lower half. Its score is 45.4; the scale is centred on 50, so it sits 4.6 points below the typical model. That beats 21% of the ranked field. Among the 7 ranked internlm models it is #6. The next one up is internlm2-chat-20b at 46.7. The next one down is internlm2-math-plus-7b at 44.9.
internlm2-math-plus-20b, benchmark by benchmark
internlm2-math-plus-20b lands below the middle on MMLU-Pro: 37.1%, #106 of 136, with 77% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is c4ai-command-r-v01 at 37.9%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so internlm2-math-plus-20b is 18.2 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
- #584 phi-4 (45.4)
- #585 gpt-4-turbo (45.4)
- #586 GPT-3.5 Turbo (Nov 2023) (45.4)
- #588 LLaDA-8B-Instruct (45.4)
- #589 Llama-3-Smaug-8B (45.4)
- #590 grok-build-0.1 (45.4)
More from internlm
- Intern-S2-Preview (#72, 52.3)
- Intern-S1 (#104, 51.7)
- internlm2_5-7b-chat (#305, 48.9)
- internlm3-8b-instruct (#378, 48.2)
- internlm2-chat-20b (#492, 46.7)
- internlm2-math-plus-7b (#617, 44.9)
Compare it on the live leaderboard → · How the aggregate score works