Vendor comparison
LiquidAI vs MiniMax
Every LiquidAI and MiniMax LLM model side by side: pricing per million tokens, context windows, and capabilities. Refreshed nightly from upstream.
LiquidAI
3 models| Model | Context | In $/1M | Out $/1M |
|---|---|---|---|
| LFM2-24B-A2B | 33k | 0.0300 | 0.1200 |
| LFM2.5-1.2B-Instruct (free) | 33k | 0.0000 | 0.0000 |
| LFM2.5-1.2B-Thinking (free) | 33k | 0.0000 | 0.0000 |
MiniMax
8 models| Model | Context | In $/1M | Out $/1M |
|---|---|---|---|
|
MiniMax M1
tools
|
1000k | 0.4000 | 2.2000 |
|
MiniMax M2
tools, json_mode
|
197k | 0.2550 | 1.0000 |
| MiniMax M2-her | 66k | 0.3000 | 1.2000 |
|
MiniMax M2.1
tools, json_mode
|
197k | 0.2900 | 0.9500 |
|
MiniMax M2.5
tools, json_mode
|
197k | 0.1500 | 1.1500 |
|
MiniMax M2.5 (free)
tools, json_mode
|
197k | 0.0000 | 0.0000 |
|
MiniMax M2.7
tools, json_mode
|
197k | 0.2600 | 1.2000 |
|
MiniMax-01
vision
|
1000k | 0.2000 | 1.1000 |