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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal p...
mistral-medium-3 is a Multimodal model from Mistral AI (US). HotON.ai tracks it at $0.40 per 1M input tokens and $2.00 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
mistral-medium-3 is tracked at $0.40 per 1M input tokens and $2.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.60 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
mistral-medium-3 supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, mistral-medium-3 is cheaper than 46% of models on input price and ranks #399 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 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 — mistral-medium-3 (Mistral AI): $0.40/1M input, $2.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/mistralai-mistral-medium-3Pricing 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.