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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: mistral_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
ministral-8b-2512 is a Multimodal model from Mistral AI (US). HotON.ai tracks it at $0.15 per 1M input tokens and $0.15 per 1M output tokens, with a 256K-token context window. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
ministral-8b-2512 is tracked at $0.15 per 1M input tokens and $0.15 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.15 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
ministral-8b-2512 supports up to a 256K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, ministral-8b-2512 is cheaper than 70% of models on input price and ranks #115 of 537 by overall efficiency.
Yes — qwen3.5-9b is a lower-cost option at $0.15 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — ministral-8b-2512 (Mistral AI): $0.15/1M input, $0.15/1M output, as of 2026-05-10. https://hoton.ai/en/models/mistralai-ministral-8b-2512Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.