Capabilities
7-day heat trend
−4.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 9% of tracked models
- Faster than 23% of tracked models
- Efficiency rank: #105 of 120
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About Jamba Large 1.7
Jamba Large 1.7 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, ~132 tokens/sec throughput and 100.0% availability. Its composite efficiency score is 87/100 at an estimated $0.008 per successful task.
Compare Jamba Large 1.7
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Frequently asked questions
How much does Jamba Large 1.7 cost per 1M tokens?+
Jamba Large 1.7 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.
What is Jamba Large 1.7 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is Jamba Large 1.7?+
Jamba Large 1.7 delivers about 132 tokens/sec with 100.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is Jamba Large 1.7 cheaper than other AI models?+
Within the HotON.ai tracked set, Jamba Large 1.7 is cheaper than 9% of models on input price and ranks #105 of 120 by overall efficiency.
Pricing and availability are real (via OpenRouter, updated daily — availability is the best-serving provider's 24h uptime). Efficiency is a HotON composite of real price and context. Speed is a modeled estimate.