LLM Comparison
Trinity Large Thinking vs MiniMax M2.7
Side-by-side specs, pricing & capabilities · Updated April 2026
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2/6 modelsSame tier:
T Trinity Large Thinking | M MiniMax M2.7 | |
|---|---|---|
| Organization | Arcee AI | MiniMax |
| OpenTools Score | ||
| Family | Trinity | MiniMax |
| Status | Current | Current |
| Release Date | Apr 2026 | Mar 2026 |
| Context Window | 262K tokens | 197K tokens |
| Input Price | $0.22/M tokens | $0.30/M tokens |
| Output Price | $0.85/M tokens | $1.20/M tokens |
| Pricing Notes | Cache read: $0.0600/M tokens | Cache read: $0.0590/M tokens |
| Capabilities | textcodeextended-thinking | textcode |
| Max Output | 262K tokens | — |
| API Identifier | arcee-ai/trinity-large-thinking | minimax/minimax-m2.7 |
| View Trinity Large Thinking | View MiniMax M2.7 |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Trinity Large ThinkingCheapest | $0.22 | $0.43 | $0.65 | — |
| MiniMax M2.7 | $0.30 | $0.60 | $0.90 | +40% |
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.
MiniMax
MiniMax M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
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