Jamba Large 1.7

Jamba Large 1.7 by AI21 Labs excels in the Coding category, where it ranks #126 with a composite score of 49/100. Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more accurate, contextually grounded responses and better steerability than previous versions. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Jamba Large 1.7 is priced at $2.00 per million input tokens and $8.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Jamba Large 1.7 holds rank #126 out of 6 models tracked. Its quality rank is #126 and adoption rank is #126. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Jamba Large 1.7 has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (86/100), Output Capacity (60/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 49/100 reflects a weighted combination of all tracked signals.

Jamba Large 1.7 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check AI21 Labs's website for current free tier availability and promotional offers.