API cost decision in 10 seconds
LFM2.5-1.2B-Thinking (free) vs MiniMax M2
Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick MiniMax M2 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick MiniMax M2 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.76 for MiniMax M2, saving $0.76 (100% lower).
Cost-first pickLFM2.5-1.2B-Thinking (free)
Context-first pickMiniMax M2
Sample savings$0.76100%
10x traffic gap$7.55
MiniMax M2 has more context, but LFM2.5-1.2B-Thinking (free) saves $0.76 on the standard workload. At 10x that traffic, the same price gap is about $7.55. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-1.2B-Thinking (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2.5-1.2B-Thinking (free) | MiniMax M2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-1.2B-Thinking (free) | $0 | $1.77 |
| Balanced workload | 1M input + 1M output | LFM2.5-1.2B-Thinking (free) | $0 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-1.2B-Thinking (free) | $0 | $5.25 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
LFM2.5-1.2B-Thinking (free) has the lower input price, LFM2.5-1.2B-Thinking (free) has the lower output price, and MiniMax M2 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for LFM2.5-1.2B-Thinking (free) and $0.76 for MiniMax M2.
Choose LFM2.5-1.2B-Thinking (free) when you care most about lower input-token price, and lower output-token price.
Choose MiniMax M2 when you care most about larger context window.
| Feature | LFM2.5-1.2B-Thinking (free) (LiquidAI) | MiniMax M2 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.26 |
| Completion Price per 1M tokens | $0 | $1 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.76 |
| Context Window | 32.77K | 204.8K |
| Release Date | 2026-01-20 | 2025-10-23 |
LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-1.2B-Thinking (free) | On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.76 for MiniMax M2, saving $0.76 (100% lower). |
| High-volume input processing | LFM2.5-1.2B-Thinking (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | LFM2.5-1.2B-Thinking (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiniMax M2 | A larger context window leaves more room for retrieved passages and source files. |