MiniMax M1 vs Seed-2.0-Mini
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax M1 and Seed-2.0-Mini.
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...
Seed-2.0-Mini
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...
Technical Specifications
| Specification | MiniMax M1 | Seed-2.0-Mini |
|---|---|---|
| Provider | MiniMax | ByteDance |
| Context Window | 1,000,000 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2026-02-26 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M1
$0.40
Seed-2.0-Mini
$0.10
Output Price per Million Tokens
MiniMax M1
$2.20
Seed-2.0-Mini
$0.40
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
Seed-2.0-Mini Quirks & Gotchas
No developer gotchas reported.