Real data comparison
DeepSeek: DeepSeek V4 Flash 0423 vs StepFun: Step 5 Preview
On quality, StepFun: Step 5 Preview leads (43.7 vs 34.3). On price, DeepSeek: DeepSeek V4 Flash 0423 is cheaper ($0.66 vs $1.42 per 1M). In real production usage, DeepSeek: DeepSeek V4 Flash 0423 is used more (rank #4 vs #6 of 388). Across 3 real task categories where both models have classified traffic, DeepSeek: DeepSeek V4 Flash 0423 handles more of the traffic in 3 of them.
- DeepSeek: DeepSeek V4 Flash 0423
- StepFun: Step 5 Preview
Head-to-head by real task
DeepSeek: DeepSeek V4 Flash 0423 leads 3 of 3 shared task categories by real classified traffic share; StepFun: Step 5 Preview leads 0. Not a benchmark score - this is what developers actually route to each model for, per OpenRouter's task classification.
| Task | DeepSeek: DeepSeek V4 Flash 0423 | StepFun: Step 5 Preview |
|---|---|---|
| DevOps | 5.6% | 3.1% |
| Repo Scanning | 4.5% | 3.1% |
| Summarization | 6.0% | 4.9% |
Usage share over time
- DeepSeek: DeepSeek V4 Flash 0423
- StepFun: Step 5 Preview
Frequently asked questions
DeepSeek: DeepSeek V4 Flash 0423 vs StepFun: Step 5 Preview: which is better quality?
StepFun: Step 5 Preview scores higher on Artificial Analysis's Intelligence Index (43.7 vs 34.3).
DeepSeek: DeepSeek V4 Flash 0423 vs StepFun: Step 5 Preview: which is cheaper?
DeepSeek: DeepSeek V4 Flash 0423 is cheaper at $0.66/1M vs $1.42/1M.
DeepSeek: DeepSeek V4 Flash 0423 vs StepFun: Step 5 Preview: which is used more?
DeepSeek: DeepSeek V4 Flash 0423 has higher real OpenRouter usage share (rank #4 vs #6 of 388).
DeepSeek: DeepSeek V4 Flash 0423 vs StepFun: Step 5 Preview: which wins more real-world task categories?
DeepSeek: DeepSeek V4 Flash 0423 handles more traffic in 3 of 3 shared task categories where both models have classified OpenRouter usage.
Source: OpenRouter (openrouter.ai/rankings), as of October 21, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: www.smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.
