Model Comparison
Qwen2.5 Coder Instruct 32B
vs. Step3 VL 10B
Comparing 2 AI models · 11 benchmarks · Alibaba, StepFun
Recommended Pick
StStep3 VL 10B5 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen2.5 Coder Instruct 32B
$0.00/1M input price
Best Reasoning
Step3 VL 10B
29.6 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
Reasoning gap
Step3 VL 10B leads Qwen2.5 Coder Instruct 32B by 1.3 points on reasoning.
Top-pick rationale
Step3 VL 10B wins 5 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Coder Instruct 32B
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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Step3 VL 10B
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 Coder Instruct 32B | Top Pick St Step3 VL 10B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Nov 11, 2024 | Jan 20, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 28.3 | 29.6 |
| Intelligence | 7.1 | 9.5 |
| Standard Benchmarks | ||
| GPQA | 41.7% | 69.0% |
| MMLU Pro | 63.5% | — |
| HLE | 3.8% | 10.2% |
| LiveCodeBench | 29.5% | — |
| MATH 500 | 76.7% | — |
| AIME (Original) | 12.0% | — |
| SciCode | 27.1% | 31.1% |
| LCR | — | 0.0% |
| IFBench | — | 50.2% |
| TAU-bench v2 | — | 16.1% |
| TerminalBench Hard | — | 5.3% |
Key Takeaways
Qwen2.5 Coder Instruct 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Step3 VL 10B has the strongest reasoning profile with a 29.6 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 Coder Instruct 32B
- Cost-sensitive applications
- High-volume processing
Step3 VL 10B
- Complex reasoning tasks
- Research & analysis
