Capabilities
7-day heat trend
+7.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 28% of tracked models
- Faster than 39% of tracked models
- Efficiency rank: #176 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About jamba-mini-1.7
Jamba Mini 1.7 is AI21's efficient long-context model for lower-cost chat and production workloads.
jamba-mini-1.7 is a Text model from AI21 (US). HotON.ai tracks it at $0.20 per 1M input tokens and $0.40 per 1M output tokens, with a 256K-token context window, ~142 tokens/sec throughput and 98.3% availability. Its composite efficiency score is 90/100 at an estimated $0.001 per successful task.
Compare jamba-mini-1.7
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Frequently asked questions
How much does jamba-mini-1.7 cost per 1M tokens?+
jamba-mini-1.7 is tracked at $0.20 per 1M input tokens and $0.40 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.35 per 1M tokens. Figures are illustrative demo data.
What is jamba-mini-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-mini-1.7?+
jamba-mini-1.7 delivers about 142 tokens/sec with 98.3% tracked availability, suitable for latency-sensitive, real-time applications.
Is jamba-mini-1.7 cheaper than other AI models?+
Within the HotON.ai tracked set, jamba-mini-1.7 is cheaper than 28% of models on input price and ranks #176 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.