Model Comparison
QwQ 32B
vs. Step 3.7 Flash
Comparing 2 AI models · 0 benchmarks · Alibaba, StepFun
Recommended Pick
StStep 3.7 Flash5 metric winsStrongest on: Value, Input price, Blended price
Best Value
Step 3.7 Flash
100.0 value score
19.5 reasoning / $0.44/1M
Lowest Price
Step 3.7 Flash
$0.20/1M input price
Best Reasoning
Step 3.7 Flash
19.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Step 3.7 Flash
39.6 coding index
Differences That Matter
Best value
Step 3.7 Flash has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Step 3.7 Flash is 3.3x cheaper on input tokens than QwQ 32B.
Reasoning gap
Step 3.7 Flash leads QwQ 32B by 10.0 points on reasoning.
Top-pick rationale
Step 3.7 Flash wins 5 measurable categories, including Value, Input price, Blended price, Reasoning.
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
—
Step 3.7 Flash
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Secure AI Chat made in Europe
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 QwQ 32B | Top Pick St Step 3.7 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.66/1M | $0.20/1M |
| Output Cost | $1.00/1M | $1.15/1M |
| Blended (3:1) | $0.74/1M | $0.44/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Mar 5, 2025 | May 29, 2026 |
| Performance & Speed | ||
| Throughput | — | 182.9 tok/s |
| TTFT | — | 2630ms |
| Latency | — | 13570ms |
| Composite Indices | ||
| Value Score | 28.6 | 100.0 |
| Reasoning Score | 9.5 | 19.5 |
| Intelligence | 9.5 | 19.5 |
| Coding | — | 39.6 |
Key Takeaways
Step 3.7 Flash offers the best value at $0.20/1M,making it ideal for high-volume applications and cost-conscious projects.
Step 3.7 Flash has the strongest reasoning profile with a 19.5 reasoning score,combining the available reasoning-heavy benchmarks.
Step 3.7 Flash reaches a 39.6 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
QwQ 32B
- General-purpose AI
- Versatile applications
Step 3.7 Flash
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
