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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: ai21_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Jamba Large 1.7 2025-07 is the dated AI21 snapshot behind the stable Jamba Large hosted alias.
jamba-large-1.7-2025-07 is a Text model from AI21 (US). HotON.ai tracks it at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with a 256K-token context window. Its composite efficiency score is 87/100 at an estimated $0.008 per successful task.
jamba-large-1.7-2025-07 is tracked at $2.00 per 1M input tokens and $8.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $6.50 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.
jamba-large-1.7-2025-07 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, jamba-large-1.7-2025-07 is cheaper than 15% of models on input price and ranks #423 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — jamba-large-1.7-2025-07 (AI21): $2.00/1M input, $8.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/ai21-jamba-large-1-7-2025-07Pricing 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.