- Japanese Enterprises: Deploy enterprise-grade generative AI optimized for business processes and local language needs.
- Industry Solution Developers: Customize the model for finance, legal, healthcare, and manufacturing workflows.
- Strategic IT & AI Teams: Achieve cost-effective, secure AI with top accuracy and business-relevant outputs.
- Global Firms Expanding to Japan: Integrate a high-performance Japanese LLM with proven architecture and support.
- R&D and Innovation Labs: Foster new, industry-specific AI use cases with flexible fine-tuning and best practices.
How to Use Syn?
- Deploy via AWS Marketplace: Launch secure, enterprise-grade applications tailored to business needs.
- Customize with Industry Data: Rapidly fine-tune Syn for unique sector or workflow requirements.
- Integrate into Existing Systems: Use straightforward APIs and deployment options for seamless adoption.
- Scale with Enterprise Support: Benefit from Upstage’s and Karakuri’s proven implementation, consulting, and ongoing updates.
- Designed for Japanese Enterprise: High alignment with local language, regulations, and business process needs.
- Best-in-Class Accuracy & Safety: Top-ranked under 14B models on Nejumi with superior reliability for real business usage.
- Cost-Optimized Performance: Delivers enterprise results with significantly lower infrastructure and training costs.
- Fast, Flexible Fine-Tuning: Rapid customization and adaptation for industry-specific requirements.
- Secure, Enterprise-Level Deployment: Meets strict security standards, available on AWS Marketplace, and designed for flexible integration.
- Outstanding accuracy and natural Japanese output for real business tasks.
- Lightweight, efficient architecture based on proven Solar Mini model.
- Flexible deployment with cost, speed, and security advantages.
- Designed for industry-specific fine-tuning and rapid adoption.
- Primarily focused on Japanese language and enterprise—less suitable for general-purpose or global LLM use.
- Requires careful customization for the most effective sector applications.
- Some advanced features and deployments may only be available through AWS or enterprise channels.
- Documentation and community outside Japan may be more limited.
Developers
Custom
Public models (See detailed pricing)
REST API
Public cloud
Help center
Enterprise
Custom
All public models
Custom LLM and RAG
Custom key information extraction
Custom document classification
REST API
Custom integrations
Serverless (API)
Private cloud
On-premises
Upstage Fine-tuning Studio
Upstage Labeling Studio
Personal information masking
Usage and resource monitoring
SSO
24/7 priority support
99% uptime SLA
Dedicated success manager
Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.
Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.
Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Similar AI Tools
GPT-4.1 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.
GPT-4.1 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.
GPT-4.1 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek-V3-0324
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
DeepSeek-V3-0324
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
DeepSeek-V3-0324
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
DeepSeek-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
DeepSeek-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
DeepSeek-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.
DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.
DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
Odia Gen AI
OdiaGenAI is a collaborative open-source initiative launched in 2023 to develop generative AI and LLM technologies tailored for Odia—a low-resource Indic language—and other regional languages. Led by Odia technologists and hosted under Odisha AI, it focuses on building pretrained, fine-tuned, and instruction-following models, datasets, and tools to empower areas like education, governance, agriculture, tourism, health, and industry.
Odia Gen AI
OdiaGenAI is a collaborative open-source initiative launched in 2023 to develop generative AI and LLM technologies tailored for Odia—a low-resource Indic language—and other regional languages. Led by Odia technologists and hosted under Odisha AI, it focuses on building pretrained, fine-tuned, and instruction-following models, datasets, and tools to empower areas like education, governance, agriculture, tourism, health, and industry.
Odia Gen AI
OdiaGenAI is a collaborative open-source initiative launched in 2023 to develop generative AI and LLM technologies tailored for Odia—a low-resource Indic language—and other regional languages. Led by Odia technologists and hosted under Odisha AI, it focuses on building pretrained, fine-tuned, and instruction-following models, datasets, and tools to empower areas like education, governance, agriculture, tourism, health, and industry.
Mistral Large 2
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Mistral Large 2
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Mistral Large 2
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Mistral Nemotron
Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.
Mistral Nemotron
Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.
Mistral Nemotron
Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.
OpenRouter
OpenRouter is a unified platform designed to connect developers and organizations to leading AI models from over 60 providers using a single, streamlined interface. The platform boasts over 400 models and supports more than 2.5 million global users, letting teams access, manage, and scale large language model (LLM) workloads reliably and efficiently. With OpenAI-compatible APIs, dynamic provider fallback, fast edge network performance, and fine-grained data control, OpenRouter ensures both flexibility and security for advanced AI deployments and experimentation.
OpenRouter
OpenRouter is a unified platform designed to connect developers and organizations to leading AI models from over 60 providers using a single, streamlined interface. The platform boasts over 400 models and supports more than 2.5 million global users, letting teams access, manage, and scale large language model (LLM) workloads reliably and efficiently. With OpenAI-compatible APIs, dynamic provider fallback, fast edge network performance, and fine-grained data control, OpenRouter ensures both flexibility and security for advanced AI deployments and experimentation.
OpenRouter
OpenRouter is a unified platform designed to connect developers and organizations to leading AI models from over 60 providers using a single, streamlined interface. The platform boasts over 400 models and supports more than 2.5 million global users, letting teams access, manage, and scale large language model (LLM) workloads reliably and efficiently. With OpenAI-compatible APIs, dynamic provider fallback, fast edge network performance, and fine-grained data control, OpenRouter ensures both flexibility and security for advanced AI deployments and experimentation.
Upstage Information Extract is a powerful, schema-agnostic document data extraction solution that requires zero training or setup. It intelligently extracts structured insights from any document type—PDFs, scanned images, Office files, multi-page documents, and more—understanding both explicit content and implicit contextual meaning such as totals from line items. Designed for enterprise-scale workflows, it offers high accuracy, dynamic schema alignment, and seamless API-first integration with ERP, CRM, cloud storage, and automation platforms, enabling reliable and customizable data extraction without the complexity typical of traditional IDP or generic LLM approaches.
Upstage Information Extract is a powerful, schema-agnostic document data extraction solution that requires zero training or setup. It intelligently extracts structured insights from any document type—PDFs, scanned images, Office files, multi-page documents, and more—understanding both explicit content and implicit contextual meaning such as totals from line items. Designed for enterprise-scale workflows, it offers high accuracy, dynamic schema alignment, and seamless API-first integration with ERP, CRM, cloud storage, and automation platforms, enabling reliable and customizable data extraction without the complexity typical of traditional IDP or generic LLM approaches.
Upstage Information Extract is a powerful, schema-agnostic document data extraction solution that requires zero training or setup. It intelligently extracts structured insights from any document type—PDFs, scanned images, Office files, multi-page documents, and more—understanding both explicit content and implicit contextual meaning such as totals from line items. Designed for enterprise-scale workflows, it offers high accuracy, dynamic schema alignment, and seamless API-first integration with ERP, CRM, cloud storage, and automation platforms, enabling reliable and customizable data extraction without the complexity typical of traditional IDP or generic LLM approaches.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai