Arcee AI
9 models across 6 families · Latest: Trinity-Large-Thinking (2026-04)
Agentic AI workflows, efficient and secure
Arcee AI's portfolio covers 9 active models across 6 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 9 active tracked models; last verified 2026-06-29.
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 9 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
9
Current models from this lab, excluding deprecated ones
Active families
6
Current model families from this lab
Open catalog
9 open
9 open source / 0 open weights
Lowest output price
$0.150 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-04-01
Trinity-Large-Thinking
Freshness
2026-06-29
Researched 64d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- Trinity-Large-Thinking
- Latest date
- 2026-04-01
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- RAG: 6 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 7 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 7 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- Trinity-Large-Thinking
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Arcee AI, established in 2023, specializes in developing and deploying small language models (SLMs) tailored for business applications. Unlike large language models (LLMs), Arcee AI focuses on creating efficient models designed for specific tasks and industries. Their technology centers around context-adapted and domain-specific LLMs using a system called DALM, along with model merging and advanced post-training techniques. The company offers products like Arcee Conductor, an intelligent model routing solution, and Arcee Orchestra, a platform for designing and scaling AI agents using SLMs. They also provide a model merging tool, MergeKit, and a range of SLMs like Arcee-Blitz and Virtuoso-Large.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Trinity-Large-Thinking | 2026-04-01 | 256k | $0.22 | $0.85 | Apache 2.0 | Open source |
| Trinity-Large-Preview | 2026-01-27 | 128k | $0.15 | $0.45 | Apache 2.0 | Open source |
| Arcee Maestro Reasoning | 2025-12-01 | 128k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- Trinity-Large-Thinking- 2026-04-01
- Trinity-Large-Preview- 2026-01-27
- Arcee Maestro Reasoning- 2025-12-01
- Arcee Virtuoso Large- 2025-12-01
- Arcee Coder Large- 2025-12-01
Top comparisons
- DeepSeek V4 Pro vs Trinity-Large-Thinking178
- DeepSeek V4 Flash vs Trinity-Large-Thinking160
- Aleph Alpha Luminous Base vs Trinity-Large-Preview124
- Grok 4 vs Trinity-Large-Thinking120
- GPT-5.5 vs Trinity-Large-Thinking116
- Grok 4.3 vs Trinity-Large-Thinking116
- Claude Opus 4.7 vs Trinity-Large-Thinking85
- DeepSeek R1 vs Trinity-Large-Thinking82
Explore related pages
Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.