LLM Comparison
MiniMax M2.5 vs Trinity Large Thinking
Side-by-side specs, pricing & capabilities · Updated April 2026
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2/6 modelsSame tier:
M MiniMax M2.5 | T Trinity Large Thinking | |
|---|---|---|
| Organization | MiniMax | Arcee AI |
| OpenTools Score | ||
| Family | MiniMax | Trinity |
| Status | Current | Current |
| Release Date | Feb 2026 | Apr 2026 |
| Context Window | 197K tokens | 262K tokens |
| Input Price | $0.12/M tokens | $0.22/M tokens |
| Output Price | $0.99/M tokens | $0.85/M tokens |
| Pricing Notes | Cache read: $0.0590/M tokens | Cache read: $0.0600/M tokens |
| Capabilities | textcode | textcodeextended-thinking |
| Max Output | 66K tokens | 262K tokens |
| API Identifier | minimax/minimax-m2.5 | arcee-ai/trinity-large-thinking |
| View MiniMax M2.5 | View Trinity Large Thinking |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2.5Cheapest | $0.12 | $0.50 | $0.61 | — |
| Trinity Large Thinking | $0.22 | $0.43 | $0.65 | +5% |
MiniMax
MiniMax M2.5
MiniMax M2.5 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.12/M input tokens.
Arcee AI
Trinity Large Thinking
Trinity Large Thinking is a large language model from Arcee AI. Supports up to 262,144 token context window. Available from $0.22/M input tokens.
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