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 acc…
Model details →AI21: Jamba Large 1.7 vs Inception: Mercury
Inception: Mercury wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude 3.5 Haiku while matching their perfor…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Inception: Mercury | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 128K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.25 | 🏆 Inception: Mercury |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.75 | 🏆 Inception: Mercury |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Inception: Mercury?
Inception: Mercury wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between AI21: Jamba Large 1.7 and Inception: Mercury?
Input: $2.00 vs $0.25 per 1M tokens. Output: $8.00 vs $0.75 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Inception: Mercury support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Inception: Mercury supports up to 128K tokens.
Do both AI21: Jamba Large 1.7 and Inception: Mercury support tool calling?
AI21: Jamba Large 1.7: yes. Inception: Mercury: yes.