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...
Model details →AI21: Jamba Large 1.7 vs Microsoft: Phi 4
AI21: Jamba Large 1.7 and Microsoft: Phi 4 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Microsoft: Phi 4 | 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 | $0.07 | 🏆 Microsoft: Phi 4 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.14 | 🏆 Microsoft: Phi 4 |
| 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 Microsoft: Phi 4?
AI21: Jamba Large 1.7 and Microsoft: Phi 4 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between AI21: Jamba Large 1.7 and Microsoft: Phi 4?
Input: $2.00 vs $0.07 per 1M tokens. Output: $8.00 vs $0.14 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Microsoft: Phi 4 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Microsoft: Phi 4 supports up to 16K tokens.
Do both AI21: Jamba Large 1.7 and Microsoft: Phi 4 support tool calling?
AI21: Jamba Large 1.7: yes. Microsoft: Phi 4: not advertised.