AI model matchup
Laguna S 2.1 vs MiniMax M3
A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.
Laguna S 2.1vsMiniMax M3
MiniMax M3 leads the RankLLMs Index by 0.5 points (41.9 vs 41.4). Verified API Pricing: Free/Open Source (Laguna S 2.1) vs Free/Open Source (MiniMax M3) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | Laguna S 2.1 | MiniMax M3 |
|---|---|---|
| RankLLMs Overall Score | 41.4 pts | 41.9 pts ▲ |
| Reasoning | 41.5 | 41.8 ▲ |
| Coding | 33.1 | 34.4 ▲ |
| Agentic Tool Use | 25.7 | 27.8 ▲ |
| Code Arena Elo | null | 1056 |
| Inference Speed | 50 tps | 106 tps ▲ |
| API Price (per 1M tokens) | Free/Open Source | Free/Open Source |
| Context Window | 1M | 1M |
| License | Open Source | Open Source |
| Global Rank | #57 | #56 ▲ |
Decision notes
What the numbers suggest
MiniMax M3 leads the RankLLMs overall score by 0.5 points. Laguna S 2.1 has the lower listed API rate (Free/Open Source per 1M tokens).
Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.
- Overall index
- MiniMax M3 leads
- 41.4 to 41.9 pts
- Coding score
- MiniMax M3 leads
- 33.1 to 34.4 pts
- Reasoning score
- MiniMax M3 leads
- 41.5 to 41.8 pts
- Agentic score
- MiniMax M3 leads
- 25.7 to 27.8 pts
Choose by workload
Which profile fits your use?
Poolside
Consider Laguna S 2.1 when
your workload gives more weight to the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Laguna S 2.1 profileMiniMax
Consider MiniMax M3 when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View MiniMax M3 profile