Model Comparison

Qwen3.5 9B (Non-reasoning)
vs. Step 3.7 Flash

Comparing 2 AI models · 0 benchmarks · Alibaba, StepFun

Recommended Pick

Alibaba logoQwen3.5 9B (Non-reasoning)5 metric wins

Strongest on: Input price, Output price, Blended price

Lowest Price

Alibaba logo

Qwen3.5 9B (Non-reasoning)

$0.17/1M input price

Differences That Matter

Price gap

Qwen3.5 9B (Non-reasoning) is 1.2x cheaper on input tokens than Step 3.7 Flash.

Speed gap

Step 3.7 Flash generates about 1.7x as many tokens per second as Qwen3.5 9B (Non-reasoning).

Top-pick rationale

Qwen3.5 9B (Non-reasoning) wins 5 measurable categories, including Input price, Output price, Blended price, TTFT.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

10 comparisons left in 24h
Alibaba logo

Qwen3.5 9B (Non-reasoning)

Alibaba

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StepFun logo

Step 3.7 Flash

StepFun

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Which answer was more useful?

Secure AI Chat made in Europe

Chat with EU-Hosted Models like Deepseek, Qwen & Kimi: open-weight, transparent, no lock-in.

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Servers in Germany & Finland. Operated by a German company under the GDPR, DPA available, ISO 27001-certified data centres.

Full Comparison

Metric
Top Pick
Alibaba logoQwen3.5 9B (Non-reasoning)
Alibaba
StepFun logoStep 3.7 Flash
StepFun
Pricing per 1M tokens
Input Cost$0.17/1M$0.20/1M
Output Cost$0.25/1M$1.15/1M
Blended (3:1)$0.19/1M$0.44/1M
Specifications
OrganizationAlibabaStepFun
Release DateMar 2, 2026May 29, 2026
Performance & Speed
Throughput127.3 tok/s213.7 tok/s
TTFT610ms2490ms
Latency610ms11850ms

Key Takeaways

Qwen3.5 9B (Non-reasoning) offers the best value at $0.17/1M,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

Alibaba logo

Qwen3.5 9B (Non-reasoning)

  • Cost-sensitive applications
  • High-volume processing
StepFun logo

Step 3.7 Flash

  • General-purpose AI
  • Versatile applications