Laguna S 2.1 vs MiniMax M1
Detailed technical comparison between Laguna S 2.1 (Poolside) 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
Laguna S 2.1
1,048,576 tokensTie
Equal CapabilityTie
Equal SpeedLaguna S 2.1
$0.10 / MTokLaguna S 2.1
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
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 | Laguna S 2.1 | MiniMax M1 |
|---|---|---|
| Provider | Poolside | MiniMax |
| Context Window | 1,048,576 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 | Beta Access (est.) | Beta Access (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-07-21 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
Laguna S 2.1
$0.10
MiniMax M1
$0.55
Output Price per Million Tokens
Laguna S 2.1
$0.20
MiniMax M1
$2.20
💡 Cost Ratio: Laguna S 2.1 is 5.5x cheaper per input token than MiniMax M1.
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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.
Laguna S 2.1 Quirks & Gotchas
No developer gotchas reported.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
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