Model Comparison
Qwen3.6 Max Preview
vs. Step 3.7 Flash
Comparing 2 AI models · 0 benchmarks · Alibaba, StepFun
Recommended Pick
StStep 3.7 Flash7 metric winsStrongest on: Value, Input price, Output price
Best Value
Step 3.7 Flash
100.0 value score
22.9 reasoning / $0.44/1M
Lowest Price
Step 3.7 Flash
$0.20/1M input price
Best Reasoning
Qwen3.6 Max Preview
32.9 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 6.5x cheaper on input tokens than Qwen3.6 Max Preview.
Speed gap
Step 3.7 Flash generates about 1.7x as many tokens per second as Qwen3.6 Max Preview.
Reasoning gap
Qwen3.6 Max Preview leads Step 3.7 Flash by 10.0 points on reasoning.
Top-pick rationale
Step 3.7 Flash wins 7 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.6 Max Preview
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Step 3.7 Flash
StepFun
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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OpenAI-compatible inference
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Full Comparison
| Metric | Al Qwen3.6 Max Preview | Top Pick St Step 3.7 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.30/1M | $0.20/1M |
| Output Cost | $7.80/1M | $1.15/1M |
| Blended (3:1) | $2.92/1M | $0.44/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Apr 20, 2026 | May 29, 2026 |
| Performance & Speed | ||
| Throughput | 54.3 tok/s | 91.4 tok/s |
| TTFT | 3440ms | 2760ms |
| Latency | 40240ms | 24640ms |
| Composite Indices | ||
| Value Score | 21.5 | 100.0 |
| Reasoning Score | 32.9 | 22.9 |
| Intelligence | 32.9 | 22.9 |
| 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.
Qwen3.6 Max Preview has the strongest reasoning profile with a 32.9 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
Qwen3.6 Max Preview
- Complex reasoning tasks
- Research & analysis
Step 3.7 Flash
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
