AI21 Labs (Jamba)
Listed at https://www.ai21.com
Overall Rank #14 ⭐ Consider
❌ Proxy required | 🌍 International
💰 Token Pricing
| Type | Price | Note |
|---|---|---|
| Input | Jamba 1.5 Mini: $0.20/M tokens, Jamba 1.5 Large: $2/M tokens | per million tokens |
| Output | Jamba 1.5 Mini: $0.20/M tokens, Jamba 1.5 Large: $2/M tokens | per million tokens |
💡 Free Credits:
🤖 Supported Models (3)
Jamba 1.5 MiniJamba 1.5 LargeJamba 1.5 Instruct
✨ Pros
- ✓Jamba 1.5 series uses SSM-Transformer hybrid architecture with 398B total/94B active params and native 256K context
- ✓OpenAI-compatible API (/v1/chat/completions), zero SDK rewrite needed
- ✓Jamba 1.5 Mini priced at $0.20/M tokens, competitive with GPT-4o-mini for most workloads
- ✓Supports function calling and JSON mode
- ✓Distributed through AWS Bedrock, Azure AI Foundry, and NVIDIA NIM marketplaces
⚠️ Cons
- ×Limited model variety (Jamba series only, no Llama / Qwen / DeepSeek rehosting)
- ×China access requires stable proxy, no ICP-filed infrastructure
- ×Jamba 1.5 Large ($2/M) is more expensive than Llama 3.3 70B ($0.39-$0.88/M)
- ×Function calling reliability is weaker than OpenAI / Anthropic tier-1 vendors
- ×Third-party benchmark coverage (MMLU, HumanEval) is thinner than top closed-source models
🎯 Best For
Mid-to-large enterprises needing long context (256K) + high throughput; teams leveraging SSM's memory efficiency; multi-cloud distribution (Bedrock + Azure AI)