Qwen3.5-9B is $0.07 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash vs Qwen3.5-9B
Pick Qwen3.5-9B for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
Budget verdict
Pick Qwen3.5-9B for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower).
DeepSeek V4 Flash has more context, but Qwen3.5-9B saves $0.11 on the standard workload. At 10x that traffic, the same price gap is about $1.09. Use the calculator below to replace the sample workload with your own token volume.
Qwen3.5-9B is $0.07 cheaper per 1M output tokens (33% lower; 1.49x difference).
DeepSeek V4 Flash has 786.43K more context (4x larger).
Qwen3.5-9B is $0.11 cheaper on the standard workload (48.7% 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
Qwen3.5-9B has the lower input price; Qwen3.5-9B has the lower output price; DeepSeek V4 Flash offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-9B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for DeepSeek V4 Flash and $0.11 for Qwen3.5-9B.
Choose DeepSeek V4 Flash when you care most about larger context window.
Choose Qwen3.5-9B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower).
- Qwen3.5-9B is $0.11 cheaper on the standard workload (48.7% lower).
- Qwen3.5-9B is $0.07 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
- Qwen3.5-9B is $0.07 cheaper per 1M output tokens (33% lower; 1.49x difference).
- DeepSeek V4 Flash has 786.43K more context (4x larger).
| Feature | 🔥DeepSeek V4 Flash (DeepSeek) | Qwen3.5-9B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.112 | $0.04 |
| Completion Price per 1M tokens | $0.224 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $0.11 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity Rank current rank | #1 | Unranked |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.5-9B | On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower). |
| High-volume input processing | Qwen3.5-9B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.5-9B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5-9B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5-9B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5-9B when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
- Owl Alpha · OpenRouter · #5
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
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Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsQwen catalog
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Open Qwen modelsDeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...