AI21: Jamba Large 1.7 vs Meta: Llama 4 Maverick
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Meta: Llama 4 Maverick has a 1049K-token context window — 4.1× larger than AI21: Jamba Large 1.7's 256K.
- Meta: Llama 4 Maverick is 93% 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; Meta: Llama 4 Maverick is built by Meta.
- Meta: Llama 4 Maverick supports vision (image inputs); the other does not.
Specifications
| AI21: Jamba Large 1.7 | Meta: Llama 4 Maverick | |
|---|---|---|
| Provider | AI21 | Meta |
| Context window | 256K | 1049K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0020 | $0.0001 |
| Output price / 1K tokens | $0.0080 | $0.0006 |
| Vision support | No | Yes |
| 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 Meta: Llama 4 Maverick
US·ClosedLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
View Meta: Llama 4 Maverick reliability and benchmark history →Try them yourself
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