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 Reka: Flash 3
Reka: Flash 3 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a 32K context length an…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Reka: Flash 3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 66K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.10 | 🏆 Reka: Flash 3 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.20 | 🏆 Reka: Flash 3 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 AI21: Jamba Large 1.7 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Reka: Flash 3 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Reka: Flash 3?
Reka: Flash 3 wins on 3 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 Reka: Flash 3?
Input: $2.00 vs $0.10 per 1M tokens. Output: $8.00 vs $0.20 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Reka: Flash 3 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Reka: Flash 3 supports up to 66K tokens.
Do both AI21: Jamba Large 1.7 and Reka: Flash 3 support tool calling?
AI21: Jamba Large 1.7: yes. Reka: Flash 3: not advertised.