AI21: Jamba Large 1.7 vs Microsoft: Phi 4
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- AI21: Jamba Large 1.7 has a 256K-token context window — 15.6× larger than Microsoft: Phi 4's 16K.
- Microsoft: Phi 4 is 97% cheaper per 1K input tokens than AI21: Jamba Large 1.7 ($0.0001 vs $0.0020).
- AI21: Jamba Large 1.7 is built by AI21; Microsoft: Phi 4 is built by Microsoft.
Specifications
| AI21: Jamba Large 1.7 | Microsoft: Phi 4 | |
|---|---|---|
| Provider | AI21 | Microsoft |
| Context window | 256K | 16K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0020 | $0.0001 |
| Output price / 1K tokens | $0.0080 | $0.0001 |
| Vision support | No | No |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About AI21: Jamba Large 1.7
Other·ClosedJamba 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...
View AI21: Jamba Large 1.7 reliability and benchmark history →About Microsoft: Phi 4
US·Closed[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...
View Microsoft: Phi 4 reliability and benchmark history →Try them yourself
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