Model Comparison
Qwen3 VL 4B Instruct
vs. Solar Mini
Comparing 2 AI models · 11 benchmarks · Alibaba, Upstage
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
Qwen3 VL 4B Instruct
$0.00/1M input price
Best Reasoning
Qwen3 VL 4B Instruct
24.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 4B Instruct
4.6 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 Instruct is ∞x cheaper on input tokens than Solar Mini.
Reasoning gap
Qwen3 VL 4B Instruct leads Solar Mini by 2.4 points on reasoning.
Top-pick rationale
Qwen3 VL 4B Instruct wins 6 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 4B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Solar Mini
Upstage
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 VL 4B Instruct | Up Solar Mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.15/1M |
| Output Cost | $0.00/1M | $0.15/1M |
| Blended (3:1) | — | $0.15/1M |
| Specifications | ||
| Organization | Alibaba | Upstage |
| Release Date | Oct 14, 2025 | Jan 25, 2024 |
| Performance & Speed | ||
| Throughput | — | 75.1 tok/s |
| TTFT | — | 786ms |
| Latency | — | 786ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 24.9 | 22.5 |
| Intelligence | 9.6 | 11.9 |
| Coding | 4.6 | — |
| Math | 37.0 | — |
| Standard Benchmarks | ||
| GPQA | 37.1% | — |
| MMLU Pro | 63.4% | — |
| HLE | 3.7% | — |
| LiveCodeBench | 29.0% | — |
| MATH 500 | — | 33.1% |
| AIME 2025 | 37.0% | — |
| SciCode | 13.7% | — |
| LCR | 13.0% | — |
| IFBench | 31.8% | — |
| TAU-bench v2 | 23.4% | 20.2% |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Qwen3 VL 4B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 4B Instruct has the strongest reasoning profile with a 24.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 4B Instruct reaches a 4.6 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 Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Solar Mini
- General-purpose AI
- Versatile applications