Model Comparison
Qwen3.5 397B A17B (Reasoning)
vs. Trinity Large Thinking
Comparing 2 AI models · 7 benchmarks · Alibaba, Arcee AI
Recommended Pick
AlQwen3.5 397B A17B (Reasoning)9 metric winsStrongest on: Reasoning, Intelligence, GPQA
Best Value
Trinity Large Thinking
100.0 value score
38.1 reasoning / $0.40/1M
Lowest Price
Trinity Large Thinking
$0.23/1M input price
Best Reasoning
Qwen3.5 397B A17B (Reasoning)
50.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 397B A17B (Reasoning)
48.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Trinity Large Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Trinity Large Thinking is 2.6x cheaper on input tokens than Qwen3.5 397B A17B (Reasoning).
Speed gap
Trinity Large Thinking generates about 3.2x as many tokens per second as Qwen3.5 397B A17B (Reasoning).
Reasoning gap
Qwen3.5 397B A17B (Reasoning) leads Trinity Large Thinking by 12.0 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Reasoning) wins 9 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 397B A17B (Reasoning)
Alibaba
TTFT
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tok/s
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Trinity Large Thinking
Arcee AI
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen3.5 397B A17B (Reasoning) | Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.23/1M |
| Output Cost | $3.60/1M | $0.88/1M |
| Blended (3:1) | $1.35/1M | $0.40/1M |
| Specifications | ||
| Organization | Alibaba | Arcee AI |
| Release Date | Feb 16, 2026 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 59.5 tok/s | 193.2 tok/s |
| TTFT | 1812ms | 719ms |
| Latency | 55347ms | 11072ms |
| Composite Indices | ||
| Value Score | 38.4 | 100.0 |
| Reasoning Score | 50.1 | 38.1 |
| Intelligence | 33.7 | 24.5 |
| Coding | 48.2 | — |
| Standard Benchmarks | ||
| GPQA | 89.3% | 75.2% |
| HLE | 27.3% | 14.7% |
| SciCode | 42.0% | 36.1% |
| LCR | 65.7% | 33.0% |
| IFBench | 78.8% | 56.3% |
| TAU-bench v2 | 95.6% | 90.1% |
| TerminalBench Hard | 40.9% | 22.7% |
Key Takeaways
Trinity Large Thinking offers the best value at $0.23/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 397B A17B (Reasoning) has the strongest reasoning profile with a 50.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 397B A17B (Reasoning) reaches a 48.2 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.5 397B A17B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
