Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
With CoreAI, you can start chatting with Mistral: Saba instantly — no separate subscription needed. CoreAI lets you chat with Mistral: Saba alongside 300+ other AI models from Mistral AI and other providers like OpenAI, Anthropic, Google, Meta, and more.
Mistral: Saba holds the #367 spot for context size out of 392 chat models in the CoreAI catalog — 33K tokens, roughly 24,576 words or 49 pages of text in a single conversation. On price, it is the #94 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2025-02-17.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Mistral: Saba and Mistral: Ministral 3 14B 2512 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00050 on Mistral: Saba's raw per-token rates; a heavy session with a 50K-token document costs about $0.013. On CoreAI you don't juggle these numbers — one subscription covers Mistral: Saba and 300+ other models under a plan usage limit, with no API keys. See plans.
Mistral: Saba handles 33K tokens of context — roughly 24,576 words, or about 49 pages of text in one conversation.
Mistral: Saba's underlying rates are $0.2 per 1M input tokens and $0.6 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Mistral: Saba is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
No — Mistral: Saba answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Mistral: Saba in the model selector, and chat — no API key, no per-token billing. One subscription covers Mistral: Saba and 300+ other models.
The closest alternatives on CoreAI are Mistral: Ministral 3 14B 2512, Google: Gemma 3n 4B, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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