ELYZA
4 models across 2 families · Latest: ELYZA Japanese CodeLlama 7B (2023-09)
Pioneered early human-like chatbot technology
ELYZA's portfolio covers 4 active models across 2 current families, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 4 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 4 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
4
Current models from this lab, excluding deprecated ones
Active families
2
Current model families from this lab
Open catalog
4 open
0 open source / 4 open weights
Lowest output price
$0.200 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2023-09-01
ELYZA Japanese CodeLlama 7B
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 4 recent dated releases (full timeline below). Latest: ELYZA Japanese CodeLlama 7B (2023-09-01).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: ELYZA Japanese CodeLlama 7B (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
ELYZA is a Japanese AI research organization founded in 2018. Pioneered early human-like chatbot technology. ELYZA ships 2 model families totaling 4 models, with the most recent release ELYZA Japanese CodeLlama 7B in 2023-09. Notable families include ELYZA Japanese CodeLlama and ELYZA Japanese Llama 2. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they. View official API endpoints, benchmark performance, and coding/agent fit for every ELYZA model.
About
ELIZA is a dynamic AI research company established in 2018 and based in Tokyo, Japan. It has carved a niche in the AI industry by focusing on the development and implementation of large-scale language model applications. ELIZA is committed to enhancing human-machine interaction through its cutting-edge generative AI techniques and advanced natural language processing (NLP) capabilities. This focus makes the company a prominent player in the continuously evolving AI landscape. A notable highlight of ELIZA's work is its specialization in creating large language models (LLMs) that are tailored for various applications, particularly in the Japanese language. One of their flagship models, the ELYZA-japanese-Llama-2, is a testament to this. With 70 billion parameters, this model excels in generating human-like text and handling complex conversations, making it suitable for diverse applications ranging from customer service to educational tools. Additionally, ELIZA's introduction of models like the ELYZA-japanese-CodeLlama-7b, which are optimized for coding tasks, reflects the company's commitment to harnessing AI's potential in specialized fields. ELIZA's approach to advancing AI technology is marked by its strategic partnerships and collaborations. By working with a range of organizations, ELIZA has successfully implemented its AI solutions to transform work practices and introduce modern business methodologies. These collaborations not only enhance the company's technological prowess but also broaden its impact across various sectors, including healthcare, finance, and education. The company's accomplishments are underscored by the successful deployment of its AI models in real-world applications, which have shown significant improvements in both efficiency and user engagement. ELIZA has earned recognition for its innovative contributions to generative AI, establishing itself as a thought leader in the industry. As the field of generative AI continues to gain momentum, ELIZA's advancements in LLM technology position the company strongly for growth and future influence in the AI sector. In essence, ELIZA is a pioneering force in AI research, combining advanced language modeling with practical applications. Its emphasis on generative AI and LLMs, strategic partnerships, and unwavering commitment to innovation highlight its influential role in shaping the future of artificial intelligence.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| ELYZA Japanese CodeLlama 7B | 2023-09-01 | 100k | - | - | Llama 2 Community | Open weights |
| ELYZA Japanese Llama 3 8B | 2023-08-02 | - | - | - | Llama 2 Community | Open weights |
| ELYZA Japanese Llama 2 13B | 2023-08-02 | - | - | - | Llama 2 Community | Open weights |
Model families
Recent releases
- ELYZA Japanese CodeLlama 7B- 2023-09-01
- ELYZA Japanese Llama 3 8B- 2023-08-02
- ELYZA Japanese Llama 2 13B- 2023-08-02
- ELYZA Japanese Llama 2 7B- 2023-08-02
Top comparisons
- ELYZA Japanese Llama 2 7B vs Llama 2 7B215
- ELYZA Japanese Llama 2 13B vs Llama 3.1 Swallow 8B Instruct120
- ELYZA Japanese Llama 2 7B vs Llama 3 Swallow 70B Instruct103
- ELYZA Japanese Llama 2 7B vs Swallow 30B101
- ELYZA Japanese Llama 2 7B vs Llama 3.1 Swallow 8B Instruct97
- ELYZA Japanese Llama 2 7B vs GPT-184
- ELYZA Japanese Llama 2 7B vs Qwen3.5-9B80
- ELYZA Japanese Llama 2 13B vs Llama 3 Swallow 70B Instruct77
FAQ
Who founded ELYZA and when?
ELYZA was founded in 2018 and is associated with Tokyo, Japan.
What models has ELYZA released?
ELYZA ships 4 models across 2 families: ELYZA Japanese CodeLlama and ELYZA Japanese Llama 2.
Is ELYZA's technology open source?
All tracked models are released under Open Weights.
Where is ELYZA headquartered?
ELYZA is headquartered in Tokyo, Japan.
What is ELYZA known for?
Pioneered early human-like chatbot technology. Its most prominent tracked family is ELYZA Japanese CodeLlama.
How can I access ELYZA's models?
ELYZA's models are available via Fireworks AI and IBM watsonx.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.