Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function calling and multi-step age…
Model details →Arcee AI: Trinity Mini vs Qwen: QwQ 32B
Arcee AI: Trinity Mini wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problem…
Model details →Side-by-side comparison
| Capability | Arcee AI: Trinity Mini | Qwen: QwQ 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.04 | $0.15 | 🏆 Arcee AI: Trinity Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.58 | 🏆 Arcee AI: Trinity Mini |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Arcee AI: Trinity Mini better than Qwen: QwQ 32B?
Arcee AI: Trinity Mini wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Arcee AI: Trinity Mini and Qwen: QwQ 32B?
Input: $0.04 vs $0.15 per 1M tokens. Output: $0.15 vs $0.58 per 1M tokens.
What context windows do Arcee AI: Trinity Mini and Qwen: QwQ 32B support?
Arcee AI: Trinity Mini supports up to 131K tokens. Qwen: QwQ 32B supports up to 131K tokens.
Do both Arcee AI: Trinity Mini and Qwen: QwQ 32B support tool calling?
Arcee AI: Trinity Mini: yes. Qwen: QwQ 32B: yes.