Model Comparison
Qwen2.5 Instruct 32B
vs. Step 3.5 Flash 2603
Comparing 2 AI models · 11 benchmarks · Alibaba, StepFun
Recommended Pick
StStep 3.5 Flash 26036 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Qwen2.5 Instruct 32B
$0.00/1M input price
Best Reasoning
Step 3.5 Flash 2603
43.7 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
Qwen2.5 Instruct 32B is ∞x cheaper on input tokens than Step 3.5 Flash 2603.
Reasoning gap
Step 3.5 Flash 2603 leads Qwen2.5 Instruct 32B by 13.8 points on reasoning.
Top-pick rationale
Step 3.5 Flash 2603 wins 6 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Instruct 32B
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Step 3.5 Flash 2603
StepFun
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen2.5 Instruct 32B | Top Pick St Step 3.5 Flash 2603 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.30/1M |
| Blended (3:1) | — | $0.15/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Sep 19, 2024 | Apr 2, 2026 |
| Performance & Speed | ||
| Throughput | — | 198.6 tok/s |
| TTFT | — | 855ms |
| Latency | — | 10925ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 29.9 | 43.7 |
| Intelligence | 7.5 | 26.0 |
| Standard Benchmarks | ||
| GPQA | 46.6% | 82.6% |
| MMLU Pro | 69.7% | — |
| HLE | 3.8% | 22.6% |
| LiveCodeBench | 24.8% | — |
| MATH 500 | 80.5% | — |
| AIME (Original) | 11.0% | — |
| SciCode | 22.9% | 38.5% |
| LCR | — | 54.3% |
| IFBench | — | 66.5% |
| TAU-bench v2 | — | 87.4% |
| TerminalBench Hard | — | 32.6% |
Key Takeaways
Qwen2.5 Instruct 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Step 3.5 Flash 2603 has the strongest reasoning profile with a 43.7 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
Qwen2.5 Instruct 32B
- Cost-sensitive applications
- High-volume processing
Step 3.5 Flash 2603
- Complex reasoning tasks
- Research & analysis
