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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 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here....
mistral-large is a Text model from Mistral AI (US). HotON.ai tracks it at $2.00 per 1M input tokens and $6.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 86/100 at an estimated $0.007 per successful task.
mistral-large is tracked at $2.00 per 1M input tokens and $6.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $5.00 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
mistral-large supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, mistral-large is cheaper than 15% of models on input price and ranks #446 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — mistral-large (Mistral AI): $2.00/1M input, $6.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/mistralai-mistral-largePricing 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.