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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.
Mistral Large 2 2411 is an update of Mistral Large 2 released together with Pixtral Large 2411 It provides a significant upgrade on the previous Mistral Large 24.07, with notable...
mistral-large-2411 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 131K-token context window. Its composite efficiency score is 86/100 at an estimated $0.007 per successful task.
mistral-large-2411 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-2411 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-large-2411 is cheaper than 15% of models on input price and ranks #443 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 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-2411 (Mistral AI): $2.00/1M input, $6.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/mistralai-mistral-large-2411Pricing 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.