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 Qwen: Qwen3 32B
Qwen: Qwen3 32B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Qwen: Qwen3 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 41K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.08 | 🏆 Qwen: Qwen3 32B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.24 | 🏆 Qwen: Qwen3 32B |
| 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. | — | Yes | 🏆 Qwen: Qwen3 32B |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Qwen: Qwen3 32B?
Qwen: Qwen3 32B 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 Qwen: Qwen3 32B?
Input: $2.00 vs $0.08 per 1M tokens. Output: $8.00 vs $0.24 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Qwen: Qwen3 32B support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Qwen: Qwen3 32B supports up to 41K tokens.
Do both AI21: Jamba Large 1.7 and Qwen: Qwen3 32B support tool calling?
AI21: Jamba Large 1.7: yes. Qwen: Qwen3 32B: yes.