DeepSeek R1 Distill Qwen 14B vs Step-3.5-Flash Comparison
Comparing DeepSeek R1 Distill Qwen 14B and Step-3.5-Flash across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B and Step-3.5-Flash don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Step-3.5-Flash has 181.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 1224.3% larger.
Context Window
Maximum input and output token capacity
Only Step-3.5-Flash specifies input context (65,536 tokens). Only Step-3.5-Flash specifies output context (8,192 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Step-3.5-Flash uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Step-3.5-Flash was released on 2026-02-02.
Step-3.5-Flash is 13 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.2 years ago
Feb 2, 2026
1 months ago
1.0yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Step-3.5-Flash
View detailsStepFun
Detailed Comparison
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