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Apertus 70B Instruct is an AI model released September 2025 by KAIST AI, a leading organization in large language model research. KAIST AI's 70B instruction model — strong reasoning and academic task performance. With 70B and a 128K tokens context window, Apertus 70B Instruct is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

Apertus 70B Instruct uses a dense transformer architecture with 70B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. KAIST AI's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Apertus 70B Instruct's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Apertus 70B Instruct by KAIST AI demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 84.0%. In mathematical reasoning, Apertus 70B Instruct records 82.0% on MATH. These scores place Apertus 70B Instruct — at 70B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of Apertus 70B Instruct are: 70B instruction model from Korea's KAIST — top engineering university; Strong Korean and English bilingual performance; Research-grade model with academic rigor. These make it particularly well-suited for Korean-English bilingual enterprise applications, Academic and research AI in Korea. Users working on complex, multi-step problems benefit most from Apertus 70B Instruct's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Apertus 70B Instruct has limitations: Less community benchmarking; Specialized academic focus. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. KAIST AI continues to improve Apertus 70B Instruct through ongoing research.

Apertus 70B Instruct is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Apertus 70B Instruct accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, Apertus 70B Instruct by KAIST AI demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 84.0%. In mathematical reasoning, Apertus 70B Instruct records 82.0% on MATH. These scores place Apertus 70B Instruct — at 70B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Dense transformer, 70B, instruction-tuned from KAIST research

The training pipeline for Apertus 70B Instruct involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. KAIST AI's research team — based in South Korea — has optimized Apertus 70B Instruct for the specific capability profile described above.

Inference efficiency: Apertus 70B Instruct at 70B is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

Getting started with Apertus 70B Instruct on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with Apertus 70B Instruct: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since Apertus 70B Instruct supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.

KAIST AI is a leading organization in AI research and large language model development. Their team has built expertise across natural language processing, model architecture design, and alignment research. KAIST AI's models are used by researchers, developers, and enterprises worldwide. Their commitment to advancing AI capability while maintaining responsible deployment practices has made them a respected contributor to the global AI ecosystem. The organization continues to publish research and release models that push the boundaries of what AI systems can achieve.

Founded: 2002, headquartered in South Korea.

Visit the official KAIST AI website →

Apertus 70B Instruct by KAIST AI competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Both Apertus 70B Instruct and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Apertus 70B Instruct is released under Custom, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

KAIST's Apertus represents South Korea's contribution to the global open-source AI ecosystem. With particular strength in Korean language understanding and generation, it serves Korean enterprises, government, and the global Korean-speaking community with a domestically developed AI alternative.

Apertus 70B Instruct by KAIST AI has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official KAIST AI model page.