Abacus.AI
7 models across 3 families · Latest: Smaug-Decisions (2026-11)
AI Research and Cloud Services.
Abacus.AI's portfolio covers 7 active models across 3 current families, spanning long context and vision. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 7 active tracked models; last verified 2026-11-03.
Use it for
- Teams evaluating long context and vision across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 7 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
7
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
7 open
6 open source / 1 open weights
Lowest output price
$2.00 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-11-02
Smaug-Decisions
Freshness
2026-11-03
Researched 11d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- Smaug-Decisions
- Latest date
- 2026-11-02
Where this lab wins
- Long-context: 2 tracked models with context-token or InfiniteBench-class signal.
- Vision: 2 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
- Flagship
- Dracarys Llama 3.1 70B Instruct
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Abacus.AI offers a comprehensive platform that combines AI research with cloud services, enabling organizations to develop, deploy, and manage AI applications at scale. Their platform provides tools and services for data preparation, model training, and deployment, making it easier for businesses to harness the power of AI without extensive in-house expertise. Abacus.AI's platform is particularly well-suited for applications such as predictive maintenance in manufacturing, fraud detection in financial services, or personalized recommendations in e-commerce.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Smaug-Decisions | 2026-11-02 | - | - | - | Apache 2.0 | Open source |
| Smaug-Audio-Decisions-0.7B | 2026-11-02 | - | - | - | Apache 2.0 | Open source |
| Smaug-Humanizer | 2026-10-26 | - | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- Smaug-Decisions- 2026-11-02
- Smaug-Audio-Decisions-0.7B- 2026-11-02
- Smaug-Humanizer- 2026-10-26
- Dracarys Llama 3.1 70B Instruct- 2024-08-14
- Smaug 2 72B- 2024-05-22
Top comparisons
- Dracarys Llama 3.1 70B Instruct vs Hunyuan Hy3 Preview94
- Dracarys Llama 3.1 70B Instruct vs Mistral 7B v0.175
- Codex 1 vs Dracarys Llama 3.1 70B Instruct47
- Dracarys Llama 3.1 70B Instruct vs ELYZA Japanese Llama 2 13B40
- Dracarys Llama 3.1 70B Instruct vs Together AI Qwen2-7B-Instruct27
- Dracarys Llama 3.1 70B Instruct vs Qwen2-7B-Instruct25
- Codex Mini Latest vs Dracarys Llama 3.1 70B Instruct21
- Dracarys Llama 3.1 70B Instruct vs Together AI - Llama 3 8B Lite18
Explore related pages
Last reviewed: 2026-11-03. Data sourced from public lab announcements and provider documentation.