Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
API cost decision in 10 seconds
Qwen3.5-9B vs Qwen3 14B
Pick Qwen3.5-9B when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.5-9B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for Qwen3 14B, saving $0.11 (47.7% lower).
Cost-first pickQwen3.5-9B
Context-first pickQwen3.5-9B
Sample savings$0.1147.7%
10x traffic gap$1.05
Qwen3.5-9B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.5-9B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5-9B | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-9B | $0.28 | $0.62 |
| Balanced workload | 1M input + 1M output | Qwen3.5-9B | $0.19 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5-9B | $0.79 | $1.3 |
Qwen3.5-9B is $0.09 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
Qwen3.5-9B has 130.44K more context (1.99x larger).
Qwen3.5-9B is $0.11 cheaper on the standard workload (47.7% 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; Qwen3.5-9B 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 $0.11 for Qwen3.5-9B and $0.22 for Qwen3 14B.
Choose Qwen3.5-9B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Qwen3 14B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for Qwen3 14B, saving $0.11 (47.7% lower).
- Qwen3.5-9B is $0.11 cheaper on the standard workload (47.7% lower).
- Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
- Qwen3.5-9B is $0.09 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
- Qwen3.5-9B has 130.44K more context (1.99x larger).
| Feature | Qwen3.5-9B (Qwen) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.04 | $0.1 |
| Completion Price per 1M tokens | $0.15 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $0.11 | $0.22 |
| Context Window | 262.14K | 131.7K |
| Release Date | ||
| Popularity | #61 | #138 |
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 Qwen3 14B, saving $0.11 (47.7% 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 | Qwen3.5-9B | 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 Qwen3.5-9B 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.
- Qwen3 235B A22B Instruct 2507 can replace Qwen3 14B when lower sample workload cost matters most: $0.12.
- 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.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsQwen3.5-9B 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...
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...