IBM Research
61 models across 10 families · Latest: Granite 4.1 3B (2026-04)
Creating reliable and adaptable AI solutions
IBM Research's portfolio covers 59 active models across 10 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 59 active tracked models; last verified 2026-06-04.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 59 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
59
Current models from this lab, excluding deprecated ones
Active families
10
Current model families from this lab
Open catalog
59 open
47 open source / 12 open weights
Lowest output price
$0.100 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-04-29
Granite 4.1 3B
Freshness
2026-06-04
Researched 44d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Granite 4.1 3B (2026-04-29).
Where this lab wins
- Coding: 3 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 1 tracked model with ruler / needle retrieval benchmarks.
- Agentic: 4 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 34 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
Flagship: Granite 4.1 8B (best sourced coding quality-per-dollar in this portfolio).
Coding task grade A · humaneval score 87.2 · cheapest tracked output $0.100 per 1M tokens
IBM Research is an American AI research organization founded in 1945. Creating reliable and adaptable AI solutions. IBM Research ships 10 model families totaling 61 models, with the most recent release Granite 4.1 3B in 2026-04. Notable families include Granite 4.1, Granite Vision, and Granite Embedding. Use it as a stable reference for lab background, release coverage, and follow-up model pages as. View official API endpoints, benchmark performance, and coding/agent fit for every IBM Research model.
About
IBM Research, established in 1945 and based in Armonk, New York, has been an influential player in the field of artificial intelligence (AI) for decades, setting benchmarks through various historical milestones. Noteworthy achievements include the development of Arthur Samuel's self-learning checkers program in the 1950s and William Dersh's voice-operated "Shoebox" in 1962. These early innovations paved the way for the development of more sophisticated AI systems, including Deep Blue's famous 1997 chess victory over Garry Kasparov and Watson's win on Jeopardy! in 2011. These milestones are foundational to IBM's ongoing innovations in generative AI and large language models (LLMs). Currently, IBM Research focuses on creating powerful foundation models and generative AI systems that prioritize trust and transparency. This commitment is reflected in their open-source approach, designed to make AI development more accessible to enterprises. One such initiative is InstructLab, an open-source project aimed at reducing the costs associated with fine-tuning LLMs. By using Large-Scale Alignment for ChatBots (LAB) to generate high-quality synthetic data, InstructLab enhances models efficiently without necessitating complete retraining. Additionally, the Granite model series, implemented on watsonx.ai, forms the backbone for products like watsonx Assistant and watsonx Orchestrate, noted for their exceptional transparency score on Stanford's Foundation Model Transparency Index. IBM Research's innovation extends to exploring LLM routers, which can dynamically select the most cost-effective model for each query, potentially lowering inference costs by up to 85%. The collaborative efforts in these projects feature contributions from key individuals like David Cox, IBM Research's vice president for AI models, and Akash Srivastava, principal AI product advisor at Red Hat. Additionally, researchers such as Michael Muller, focused on human-centered AI, embody IBM's dedication to ethical AI development. The organization's extensive history in AI research, coupled with its current strategic initiatives, underscores its stature as a leading entity in generative AI and LLMs. IBM Research's commitment to ethical, open-source, and transparent AI systems, alongside its innovative tools like InstructLab and LLM routers, demonstrate its pivotal role in generative AI's ongoing evolution. Applications of these technologies span various domains, including drug discovery and software modernization, highlighting IBM's versatility and forward-thinking approach in the realm of AI.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Granite 4.1 3B | 2026-04-29 | 131k | - | - | Apache 2.0 | Open source |
| Granite 4.1 3B Base | 2026-04-29 | 512k | - | - | Apache 2.0 | Open source |
| Granite 4.1 8B | 2026-04-29 | 131k | $0.05 | $0.1 | Apache 2.0 | Open source |
Model families
Recent releases
- Granite 4.1 3B- 2026-04-29
- Granite 4.1 3B Base- 2026-04-29
- Granite 4.1 8B- 2026-04-29
- Granite 4.1 8B Base- 2026-04-29
- Granite 4.1 30B- 2026-04-29
Top comparisons
- Granite Vision 4.1 4B vs Qwen3.5-397B-A17B162
- Together AI - Gemma 3n-e4B vs Granite Guardian 3.0 8B62
- Granite Guardian 3.0 8B vs Llama Guard 7B33
- Granite Guardian 3.0 8B vs Italia 10B Instruct29
- Granite Guardian 3.0 8B vs Llama Guard 2 8B26
- Granite Guardian 3.0 8B vs Llama 3.1 NemoGuard 8B Content Safety21
- GPT-2 Medium vs Granite Guardian 3.0 8B20
- Granite 3.3 8B Instruct vs Trinity-Large-Preview19
FAQ
Who founded IBM Research and when?
IBM Research was founded in 1945 and is associated with Armonk, New York, United States.
What models has IBM Research released?
IBM Research ships 61 models across 10 families: Granite 4.1, Granite Vision, and Granite Embedding.
Is IBM Research's technology open source?
All tracked IBM Research models are open-weight or open-source.
Where is IBM Research headquartered?
IBM Research is headquartered in Armonk, New York, United States.
What is IBM Research known for?
Creating reliable and adaptable AI solutions. Its most prominent tracked family is Granite 4.1.
How can I access IBM Research's models?
IBM Research's models are available via Cloudflare Workers AI, IBM watsonx, NVIDIA NIM, OpenRouter, and Replicate API.
Explore related pages
Last reviewed: 2026-06-04. Data sourced from public lab announcements and provider documentation.