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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Arcee AI: Trinity Large Thinking is 100% cheaper than Qwen: Qwen2.5 Coder 7B Instruct
⚡Qwen: Qwen2.5 Coder 7B Instruct is 40ms faster than Arcee AI: Trinity Large Thinking
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
| Spec | Arcee AI: Trinity Large Thinking | Qwen: Qwen2.5 Coder 7B Instruct |
|---|---|---|
| Provider | arcee-ai | qwen |
| Input price / 1M tokens | Free | $0.03 |
| Output price / 1M tokens | — | $0.09 |
| Context window | 262k tokens | 33k tokens |
| Latency (p50) | 40ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,...
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