DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further …
Model details →DeepSeek: DeepSeek V3.1 Terminus (exacto) vs LiquidAI: LFM2.5-1.2B-Thinking (free)
DeepSeek: DeepSeek V3.1 Terminus (exacto) and LiquidAI: LFM2.5-1.2B-Thinking (free) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
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 designed to provide high…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus (exacto) | LiquidAI: LFM2.5-1.2B-Thinking (free) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 33K | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.21 | $0.00 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.79 | $0.00 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 Terminus (exacto) better than LiquidAI: LFM2.5-1.2B-Thinking (free)?
DeepSeek: DeepSeek V3.1 Terminus (exacto) and LiquidAI: LFM2.5-1.2B-Thinking (free) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus (exacto) and LiquidAI: LFM2.5-1.2B-Thinking (free)?
Input: $0.21 vs $0.00 per 1M tokens. Output: $0.79 vs $0.00 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus (exacto) and LiquidAI: LFM2.5-1.2B-Thinking (free) support?
DeepSeek: DeepSeek V3.1 Terminus (exacto) supports up to 164K tokens. LiquidAI: LFM2.5-1.2B-Thinking (free) supports up to 33K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus (exacto) and LiquidAI: LFM2.5-1.2B-Thinking (free) support tool calling?
DeepSeek: DeepSeek V3.1 Terminus (exacto): yes. LiquidAI: LFM2.5-1.2B-Thinking (free): not advertised.