Model Comparison
Qwen3.6 35B A3B (Non-reasoning)
vs. Trinity Large Thinking
Comparing 2 AI models · 7 benchmarks · Alibaba, Arcee AI
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Trinity Large Thinking
100.0 value score
40.6 reasoning / $0.40/1M
Lowest Price
Trinity Large Thinking
$0.23/1M input price
Best Reasoning
Qwen3.6 35B A3B (Non-reasoning)
41.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Trinity Large Thinking
27.2 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 1.6x cheaper on input tokens than Qwen3.6 35B A3B (Non-reasoning).
Reasoning gap
Qwen3.6 35B A3B (Non-reasoning) leads Trinity Large Thinking by 1.3 points on reasoning.
Coding gap
Trinity Large Thinking leads Qwen3.6 35B A3B (Non-reasoning) by 9.6 points on coding.
Top-pick rationale
Trinity Large Thinking wins 12 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.6 35B A3B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3.6 35B A3B (Non-reasoning) | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.38/1M | $0.23/1M |
| Output Cost | $2.25/1M | $0.88/1M |
| Blended (3:1) | $0.84/1M | $0.40/1M |
| Specifications | ||
| Organization | Alibaba | Arcee AI |
| Release Date | Apr 16, 2026 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 184.0 tok/s | 191.4 tok/s |
| TTFT | 1414ms | 760ms |
| Latency | 1414ms | 11211ms |
| Composite Indices | ||
| Value Score | 48.3 | 100.0 |
| Reasoning Score | 41.9 | 40.6 |
| Intelligence | 31.5 | 31.9 |
| Coding | 17.6 | 27.2 |
| Standard Benchmarks | ||
| GPQA | 81.7% | 75.2% |
| HLE | 12.5% | 14.7% |
| SciCode | 1.3% | 36.1% |
| LCR | 56.7% | 33.0% |
| IFBench | 36.2% | 56.3% |
| TAU-bench v2 | 85.1% | 90.1% |
| TerminalBench Hard | 25.8% | 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.
Qwen3.6 35B A3B (Non-reasoning) has the strongest reasoning profile with a 41.9 reasoning score, combining the available reasoning-heavy benchmarks.
Trinity Large Thinking reaches a 27.2 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
Qwen3.6 35B A3B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development