Model Comparison
Qwen3 30B A3B (Non-reasoning)
vs. Trinity Large Thinking
Comparing 2 AI models · 12 benchmarks · Alibaba, Arcee AI
Recommended Pick
ArTrinity Large Thinking12 metric winsStrongest on: Value, Throughput, TTFT
Best Value
Trinity Large Thinking
100.0 value score
38.1 reasoning / $0.40/1M
Lowest Price
Qwen3 30B A3B (Non-reasoning)
$0.20/1M input price
Best Reasoning
Trinity Large Thinking
38.1 reasoning score
Blends available reasoning benchmarks
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
Qwen3 30B A3B (Non-reasoning) is 1.2x cheaper on input tokens than Trinity Large Thinking.
Speed gap
Trinity Large Thinking generates about 1.7x as many tokens per second as Qwen3 30B A3B (Non-reasoning).
Reasoning gap
Trinity Large Thinking leads Qwen3 30B A3B (Non-reasoning) by 6.9 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 12 measurable categories, including Value, Throughput, TTFT, Reasoning.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 30B A3B (Non-reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Trinity Large Thinking
Arcee AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 30B A3B (Non-reasoning) | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.23/1M |
| Output Cost | $0.80/1M | $0.88/1M |
| Blended (3:1) | $0.35/1M | $0.40/1M |
| Specifications | ||
| Organization | Alibaba | Arcee AI |
| Release Date | Apr 28, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 114.8 tok/s | 193.2 tok/s |
| TTFT | 997ms | 721ms |
| Latency | 997ms | 11073ms |
| Composite Indices | ||
| Value Score | 92.4 | 100.0 |
| Reasoning Score | 31.2 | 38.1 |
| Intelligence | 6.8 | 24.5 |
| Math | 21.7 | — |
| Standard Benchmarks | ||
| GPQA | 51.5% | 75.2% |
| MMLU Pro | 71.0% | — |
| HLE | 4.6% | 14.7% |
| LiveCodeBench | 32.2% | — |
| MATH 500 | 86.3% | — |
| AIME 2025 | 21.7% | — |
| AIME (Original) | 26.0% | — |
| SciCode | 26.4% | 36.1% |
| LCR | 0.0% | 33.0% |
| IFBench | 31.9% | 56.3% |
| TAU-bench v2 | 22.2% | 90.1% |
| TerminalBench Hard | 6.8% | 22.7% |
Key Takeaways
Qwen3 30B A3B (Non-reasoning) offers the best value at $0.20/1M,making it ideal for high-volume applications and cost-conscious projects.
Trinity Large Thinking has the strongest reasoning profile with a 38.1 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3 30B A3B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
Trinity Large Thinking
- Complex reasoning tasks
- Research & analysis
