Jamba 1.5-Large vs MiniMax M3 Thinking
Both have similar output pricing, while MiniMax M3 Thinking offers a larger context window. Choose Jamba 1.5-Large or MiniMax M3 Thinking based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Jamba 1.5-Large | MiniMax M3 Thinking |
|---|---|---|
| Provider | AI21 Labs | NanoGPT |
| Input / 1M tokens | — | $0.23 |
| Output / 1M tokens | — | $0.96 |
| Context window | — | 512K |
| Parameters | 398B | — |
| Open weights | Yes | Yes |
| Released | Aug 2024 | Jun 2026 |
| LMArena (Chatbot Arena) Elo score | 1237 | — |
| LiveBench score | — | 70.0 |
FAQ
Is Jamba 1.5-Large or MiniMax M3 Thinking cheaper?
Jamba 1.5-Large and MiniMax M3 Thinking have comparable output pricing.
Which has the larger context window, Jamba 1.5-Large or MiniMax M3 Thinking?
MiniMax M3 Thinking has the larger context window (512K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.