Arcee Trinity-Large-Thinking vs Qwen (Alibaba)
Which one should you pick? Here's the full breakdown.
Arcee Trinity-Large-Thinking
Arcee AI's US-made open-weight frontier reasoning model -- launched 2026-04-01. 398B total params, ~13B active. Sparse MoE (256 experts, 4 active = 1.56% routing). Apache 2.0, trained from scratch. #2 on PinchBench trailing only Claude 3.5 Opus. ~96% cheaper than Opus-4.6 on agentic tasks
Qwen (Alibaba)
Alibaba's open-weights + API family -- Qwen 3.6-Plus (Mar 30 2026, 1M context + always-on CoT + agentic tool-use), Qwen3.5 Small (2B runs on iPhone, 9B matches 120B-class models), plus Qwen3.5-Omni native multimodal. Apache 2.0 on the open sizes
| Category | Arcee Trinity-Large-Thinking | Qwen (Alibaba) |
|---|---|---|
| Ease of Use | 6.0 | 7.0 |
| Output Quality | 9.0 | 9.0 |
| Value | 9.5 | 10.0 |
| Features | 8.0 | 9.0 |
| Overall | 8.1 | 8.8 |
Pricing Comparison
| Feature | Arcee Trinity-Large-Thinking | Qwen (Alibaba) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Qwen3.5-397B MoE benchmarks — Arcee Trinity-Large-Thinking has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU-Pro | Harder multi-subject reasoning | 83.5% |
| GPQA Diamond | Graduate-level science questions | 78.2% |
| AIME 2025 | 87% | |
| HumanEval | Python code generation | 92.5% |
| SWE-Bench Verified | 69.4% |
Which Should You Pick?
Pick Arcee Trinity-Large-Thinking if...
Teams that need a US-made, Apache 2.0, frontier-tier open-weight model and can either rent multi-GPU infrastructure or pay OpenRouter API pricing at ~$0.90/M output tokens. Particularly valuable for US government, defense, or regulated enterprise contexts where country-of-origin matters for procurement. Also good for agentic reasoning workloads where the ~96% cost savings vs Claude Opus actually changes what you can build.
Visit Arcee Trinity-Large-ThinkingPick Qwen (Alibaba) if...
- ✓Easier to use (7 vs 6)
- ✓More features (9 vs 8)
Developers who want frontier-tier open weights with Apache 2.0 licensing. Qwen3-Coder-Next is arguably the best local coding model; Qwen3.5-397B is a top-3 open generalist.
Visit Qwen (Alibaba)Our Verdict
Qwen (Alibaba) edges out Arcee Trinity-Large-Thinking with a 8.8 vs 8.1 overall score. Both are solid picks, but Qwen (Alibaba) has the advantage in value.