Intern-S1: benchmark scores, price and ranking
Intern-S1 from internlm ranks #104 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.7), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- internlm
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #104 of 743 (score 51.7)
Across the 1 benchmark where at least ten models are scored, Intern-S1 is in the top 10% on 0 and in the top half on 1.
Intern-S1 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 83.5% | #20 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Intern-S1
Intern-S1 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 Intern-S1 stands
On our aggregate score, Intern-S1 is #104 of 743 ranked models, in the top quarter. Its score is 51.7; the scale is centred on 50, so it sits 1.7 points above the typical model. That beats 86% of the ranked field. Among the 7 ranked internlm models it is #2. The next one up is Intern-S2-Preview at 52.3. The next one down is internlm2_5-7b-chat at 48.9.
Intern-S1, benchmark by benchmark
MMLU-Pro puts Intern-S1 at 83.5%, #20 of 136. That beats 85% of the models tested, but 4.6 points short of Darwin-180B-RSI (88.1%). The results either side are NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (83.7%) and EXAONE-4.5-33B (83.3%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Intern-S1 is 28.2 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.
Models ranked nearby
- #101 DeepSeek-V2.5-1210 (51.7)
- #102 openai/chatgpt-4o-latest (51.7)
- #103 Darwin-36B-Opus (51.7)
- #105 GLM-4.7-FP8 (51.6)
- #106 Codex + GPT-6 Sol (51.6)
- #107 o1-2024-12-17 (51.6)
More from internlm
- Intern-S2-Preview (#72, 52.3)
- internlm2_5-7b-chat (#305, 48.9)
- internlm3-8b-instruct (#378, 48.2)
- internlm2-chat-20b (#492, 46.7)
- internlm2-math-plus-20b (#587, 45.4)
- internlm2-math-plus-7b (#617, 44.9)
Compare it on the live leaderboard → · How the aggregate score works