Model Comparison
Qwen3.5 9B (Reasoning)
vs. Step 3.7 Flash
Comparing 2 AI models · 0 benchmarks · Alibaba, StepFun
Recommended Pick
Strongest on: Input price, Output price, Blended price
Lowest Price
Qwen3.5 9B (Reasoning)
$0.14/1M input price
Differences That Matter
Price gap
Qwen3.5 9B (Reasoning) is 1.5x cheaper on input tokens than Step 3.7 Flash.
Speed gap
Step 3.7 Flash generates about 3.6x as many tokens per second as Qwen3.5 9B (Reasoning).
Top-pick rationale
Qwen3.5 9B (Reasoning) wins 4 measurable categories, including Input price, Output price, Blended price, TTFT.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 9B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
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Cost
—
Step 3.7 Flash
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen3.5 9B (Reasoning) | St Step 3.7 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.20/1M |
| Output Cost | $0.20/1M | $1.15/1M |
| Blended (3:1) | $0.15/1M | $0.44/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Mar 2, 2026 | May 29, 2026 |
| Performance & Speed | ||
| Throughput | 56.8 tok/s | 204.7 tok/s |
| TTFT | 2010ms | 2530ms |
| Latency | 37260ms | 12300ms |
Key Takeaways
Qwen3.5 9B (Reasoning) offers the best value at $0.14/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.5 9B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Step 3.7 Flash
- General-purpose AI
- Versatile applications