Step 3.5 Flash is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
API cost decision in 10 seconds
Step 3.5 Flash vs Qwen3 14B
Pick Qwen3 14B for lower cost; pick Step 3.5 Flash only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 14B for lower cost; pick Step 3.5 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.24 for Step 3.5 Flash, saving $0.02 (8.3% lower).
Cost-first pickQwen3 14B
Context-first pickStep 3.5 Flash
Sample savings$0.028.3%
10x traffic gap$0.2
Step 3.5 Flash has more context, but Qwen3 14B saves $0.02 on the standard workload. At 10x that traffic, the same price gap is about $0.2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Step 3.5 Flash, balanced workload favors Qwen3 14B, and output-heavy chatbot favors Qwen3 14B.
| Workload shape | Token mix | Better pick | Step 3.5 Flash | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Step 3.5 Flash | $0.6 | $0.62 |
| Balanced workload | 1M input + 1M output | Qwen3 14B | $0.39 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 14B | $1.59 | $1.3 |
Qwen3 14B is $0.06 cheaper per 1M output tokens (20% lower; 1.25x difference).
Step 3.5 Flash has 130.44K more context (1.99x larger).
Qwen3 14B is $0.02 cheaper on the standard workload (8.3% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Step 3.5 Flash has the lower input price; Qwen3 14B has the lower output price; Step 3.5 Flash offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.24 for Step 3.5 Flash and $0.22 for Qwen3 14B.
Choose Step 3.5 Flash when you care most about lower input-token price, and larger context window.
Choose Qwen3 14B when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.24 for Step 3.5 Flash, saving $0.02 (8.3% lower).
- Qwen3 14B is $0.02 cheaper on the standard workload (8.3% lower).
- Step 3.5 Flash is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
- Qwen3 14B is $0.06 cheaper per 1M output tokens (20% lower; 1.25x difference).
- Step 3.5 Flash has 130.44K more context (1.99x larger).
| Feature | Step 3.5 Flash (StepFun) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.09 | $0.1 |
| Completion Price per 1M tokens | $0.3 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $0.24 | $0.22 |
| Context Window | 262.14K | 131.7K |
| Release Date | ||
| Popularity | #43 | #138 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 14B | On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.24 for Step 3.5 Flash, saving $0.02 (8.3% lower). |
| High-volume input processing | Step 3.5 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 14B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Step 3.5 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 14B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 14B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 14B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 14B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsStepFun catalog
Review all tracked StepFun models before deciding whether this matchup is the right shortlist.
Open StepFun modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsStep 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...