Model Comparison
Qwen3 VL 30B A3B Instruct
vs. Trinity Large Thinking
Comparing 2 AI models · 10 benchmarks · Alibaba, Arcee AI
Recommended Pick
ArTrinity Large Thinking9 metric winsStrongest on: Throughput, Intelligence, GPQA
Best Value
Qwen3 VL 30B A3B Instruct
100.0 value score
46.1 reasoning / $0.35/1M
Lowest Price
Qwen3 VL 30B A3B Instruct
$0.20/1M input price
Best Reasoning
Qwen3 VL 30B A3B Instruct
46.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Trinity Large Thinking
25.8 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
Qwen3 VL 30B A3B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 30B A3B Instruct is 1.2x cheaper on input tokens than Trinity Large Thinking.
Reasoning gap
Qwen3 VL 30B A3B Instruct leads Trinity Large Thinking by 9.6 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 9 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 30B A3B Instruct
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
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 VL 30B A3B Instruct | 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 | Oct 3, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 212.3 tok/s |
| TTFT | — | 867ms |
| Latency | — | 10288ms |
| Composite Indices | ||
| Value Score | 100.0 | 70.1 |
| Reasoning Score | 46.1 | 36.5 |
| Intelligence | 9.9 | 18.4 |
| Coding | — | 25.8 |
| Math | 72.3 | — |
| Standard Benchmarks | ||
| GPQA | 69.5% | 75.2% |
| MMLU Pro | 76.4% | — |
| HLE | 6.3% | 15.8% |
| LiveCodeBench | 47.6% | — |
| AIME 2025 | 72.3% | — |
| SciCode | 30.8% | 36.1% |
| LCR | 27.3% | 38.3% |
| IFBench | 33.1% | 56.3% |
| TAU-bench v2 | 19.0% | 90.1% |
| TerminalBench Hard | 6.1% | 22.7% |
Key Takeaways
Qwen3 VL 30B A3B Instruct offers the best value at $0.20/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 30B A3B Instruct has the strongest reasoning profile with a 46.1 reasoning score,combining the available reasoning-heavy benchmarks.
Trinity Large Thinking reaches a 25.8 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 VL 30B A3B Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- Code generation
- Software development
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