Model Comparison
Qwen3 VL 4B (Reasoning)
vs. Trinity Large Thinking
Comparing 2 AI models · 10 benchmarks · Alibaba, Arcee AI
Recommended Pick
ArTrinity Large Thinking10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Qwen3 VL 4B (Reasoning)
$0.00/1M input price
Best Reasoning
Trinity Large Thinking
36.5 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
Price gap
Qwen3 VL 4B (Reasoning) is ∞x cheaper on input tokens than Trinity Large Thinking.
Reasoning gap
Trinity Large Thinking leads Qwen3 VL 4B (Reasoning) by 13.9 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 4B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Al Qwen3 VL 4B (Reasoning) | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.23/1M |
| Output Cost | $0.00/1M | $0.88/1M |
| Blended (3:1) | — | $0.40/1M |
| Specifications | ||
| Organization | Alibaba | Arcee AI |
| Release Date | Oct 14, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 212.3 tok/s |
| TTFT | — | 867ms |
| Latency | — | 10288ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 22.6 | 36.5 |
| Intelligence | 7.7 | 18.4 |
| Coding | — | 25.8 |
| Math | 25.7 | — |
| Standard Benchmarks | ||
| GPQA | 49.4% | 75.2% |
| MMLU Pro | 70.0% | — |
| HLE | 4.6% | 15.8% |
| LiveCodeBench | 32.0% | — |
| AIME 2025 | 25.7% | — |
| SciCode | 17.1% | 36.1% |
| LCR | 23.0% | 38.3% |
| IFBench | 36.6% | 56.3% |
| TAU-bench v2 | 15.5% | 90.1% |
| TerminalBench Hard | 1.5% | 22.7% |
Key Takeaways
Qwen3 VL 4B (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Trinity Large Thinking has the strongest reasoning profile with a 36.5 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 4B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Trinity Large Thinking
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Recommended Comparisons
Popular alternatives
