Side-by-side comparison
LFM2.5-1.2B-Thinking (free) vs Qwen2.5 Coder 32B Instruct
LiquidAI
LFM2.5-1.2B-Thinking (free)
Input / 1M
$0.0000
Output / 1M
$0.0000
Qwen
Qwen2.5 Coder 32B Instruct
Input / 1M
$0.6600
Output / 1M
$1.0000
| LFM2.5-1.2B-Thinking (free) | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
| Provider | LiquidAI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0000 | 0.6600 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.0000 | 1.0000 |
Frequently asked questions
Which is cheaper, LFM2.5-1.2B-Thinking (free) or Qwen2.5 Coder 32B Instruct?
LFM2.5-1.2B-Thinking (free) is cheaper than Qwen2.5 Coder 32B Instruct on a 50/50 input/output blend by about $0.83 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between LFM2.5-1.2B-Thinking (free) and Qwen2.5 Coder 32B Instruct?
LFM2.5-1.2B-Thinking (free) comes from LiquidAI; Qwen2.5 Coder 32B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.