AI21 Labs Jamba Large 1.7

Jamba Large 1.7 by AI21 Labs excels in the Coding category, where it ranks #323 with a composite score of 40/100. 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... 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 #323 out of 378 models tracked. Its quality rank is #323 and adoption rank is #323. 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 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (92/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 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.

Jamba Large 1.7 supports a 256K token context window (256,000 tokens total). That translates to roughly 192,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Jamba Large 1.7 can generate up to 4K output tokens (4,096 tokens) per response. That is roughly 3,072 words. Sufficient for typical conversations, code snippets, and summaries.

Jamba Large 1.7 supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Jamba Large 1.7 is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Jamba Large 1.7 was developed by AI21 Labs. It was released on August 8, 2025. You can access it through AI21 Labs's API or download the model weights directly. Check our provider page for all models from AI21 Labs and how they compare against each other.

Pick Jamba Large 1.7 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Jamba Large 1.7 through AI21 Labs's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.