AI Models · Open-Source Alternatives

Open-Source Alternatives to Saba

The best open-weight, self-hostable alternatives to Saba in 2026 — compared on price, context window and capabilities. Run them locally and cut API costs.

Refreshed from live data · olud.ai

The best open-weight alternatives to Saba

Saba is a proprietary, API-only model. These open-weight models can be self-hosted, run offline and used at a fraction of the cost — here's how the top ones stack up.

Nemotron 3.5 Super VL Open

NVIDIA · 1M ctx · $0.5/M out

20.0 pts ABOVE Saba on the Artificial Analysis intelligence index · 1.2× cheaper per million output tokens

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

Nemotron 3.5 Super VL vs Saba →

Hy3 Open

Tencent · 262K ctx · $0.33/M out

18.8 pts ABOVE Saba on the Artificial Analysis intelligence index · 1.8× cheaper per million output tokens

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

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IN Ling 3.0 Flash VL Open

Inclusionai · 131K ctx · $0.18/M out

18.1 pts ABOVE Saba on the Artificial Analysis intelligence index · 3.3× cheaper per million output tokens

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

Ling 3.0 Flash VL vs Saba →

Gemma 4 26B A4B Open

Google · 262K ctx · $0.22/M out

10.2 pts ABOVE Saba on the Artificial Analysis intelligence index · 2.7× cheaper per million output tokens

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

Gemma 4 26B A4B vs Saba →

Granite 4.2 8B Open

IBM · 131K ctx · $0.25/M out

4.6 pts ABOVE Saba on the Artificial Analysis intelligence index · 2.4× cheaper per million output tokens

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

Granite 4.2 8B vs Saba →

North Mini Code (free) Open

Cohere · 256K ctx · Free/M out

3.4 pts ABOVE Saba on the Artificial Analysis intelligence index

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...

North Mini Code (free) vs Saba →

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Live ranking of open-weight models with pricing, context windows and capabilities.

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