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 Magnum v4 72B
AI21: Jamba Large 1.7 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Magnum v4 72B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 16K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $3.00 | 🏆 AI21: Jamba Large 1.7 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $5.00 | 🏆 Magnum v4 72B |
| 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. | — | — | Tie |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Magnum v4 72B?
AI21: Jamba Large 1.7 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 Magnum v4 72B?
Input: $2.00 vs $3.00 per 1M tokens. Output: $8.00 vs $5.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Magnum v4 72B support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Magnum v4 72B supports up to 16K tokens.
Do both AI21: Jamba Large 1.7 and Magnum v4 72B support tool calling?
AI21: Jamba Large 1.7: yes. Magnum v4 72B: not advertised.