Jamba Large 1.7 vs MiniMax M1
Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and MiniMax M1 (MiniMax). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
MiniMax M1
1,000,000 tokensTie
Equal CapabilityTie
Equal SpeedMiniMax M1
$0.55 / MTokJamba Large 1.7
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...
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
🏆 = Superior Spec| Specification | Jamba Large 1.7 | MiniMax M1 |
|---|---|---|
| Provider | AI21 Labs | MiniMax |
| Context Window | 256,000 tokens | 1,000,000 tokens🏆 |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | managed api |
| Production Stability | Stable GA (est.) | Beta Access (est.) |
| API Available | Yes | Yes |
| Released Date | 2025-08-08 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
Jamba Large 1.7
$2.00
MiniMax M1
$0.55
Output Price per Million Tokens
Jamba Large 1.7
$8.00
MiniMax M1
$2.20
💡 Cost Ratio: MiniMax M1 is 3.6x cheaper per input token than Jamba Large 1.7.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Jamba Large 1.7 Quirks & Gotchas
No developer gotchas reported.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
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