Model Comparison
QwQ 32B
vs. Step3 VL 10B
Comparing 2 AI models · 12 benchmarks · Alibaba, StepFun
Recommended Pick
StStep3 VL 10B5 metric winsStrongest on: Input price, Output price, GPQA
Lowest Price
Step3 VL 10B
$0.00/1M input price
Best Reasoning
QwQ 32B
44.5 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
Price gap
Step3 VL 10B is ∞x cheaper on input tokens than QwQ 32B.
Reasoning gap
QwQ 32B leads Step3 VL 10B by 14.8 points on reasoning.
Top-pick rationale
Step3 VL 10B wins 5 measurable categories, including Input price, Output price, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
QwQ 32B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Step3 VL 10B
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al QwQ 32B | Top Pick St Step3 VL 10B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.66/1M | $0.00/1M |
| Output Cost | $1.00/1M | $0.00/1M |
| Blended (3:1) | $0.74/1M | — |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Mar 5, 2025 | Jan 20, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 44.5 | 29.7 |
| Intelligence | 13.4 | 9.3 |
| Math | 29.0 | — |
| Standard Benchmarks | ||
| GPQA | 59.3% | 69.0% |
| MMLU Pro | 76.4% | — |
| HLE | 7.3% | 10.8% |
| LiveCodeBench | 63.1% | — |
| MATH 500 | 95.7% | — |
| AIME 2025 | 29.0% | — |
| AIME (Original) | 78.0% | — |
| SciCode | 35.8% | 31.1% |
| LCR | 26.3% | 0.0% |
| IFBench | 38.8% | 50.2% |
| TAU-bench v2 | — | 16.1% |
| TerminalBench Hard | — | 5.3% |
Key Takeaways
Step3 VL 10B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
QwQ 32B has the strongest reasoning profile with a 44.5 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
QwQ 32B
- Complex reasoning tasks
- Research & analysis
Step3 VL 10B
- Cost-sensitive applications
- High-volume processing
