Vendor comparison
Arcee AI vs MiniMax
Every Arcee AI and MiniMax LLM model side by side: pricing per million tokens, context windows, and capabilities. Refreshed nightly from upstream.
Arcee AI
8 models| Model | Context | In $/1M | Out $/1M |
|---|---|---|---|
| Coder Large | 33k | 0.5000 | 0.8000 |
| Maestro Reasoning | 131k | 0.9000 | 3.3000 |
|
Spotlight
vision
|
131k | 0.1800 | 0.1800 |
|
Trinity Large Preview
tools, json_mode
|
131k | 0.1500 | 0.4500 |
|
Trinity Large Thinking
tools, json_mode
|
262k | 0.2200 | 0.8500 |
|
Trinity Large Thinking (free)
tools
|
262k | 0.0000 | 0.0000 |
|
Trinity Mini
tools, json_mode
|
131k | 0.0450 | 0.1500 |
|
Virtuoso Large
tools
|
131k | 0.7500 | 1.2000 |
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 |