Qwen3 14B is $1.65 cheaper per 1M input tokens (94.3% lower; 17.5x difference).
API cost decision in 10 seconds
Qwen3 14B vs GPT-5.2 Chat
Pick Qwen3 14B 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 14B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $8.75 for GPT-5.2 Chat, saving $8.53 (97.5% lower).
Cost-first pickQwen3 14B
Context-first pickQwen3 14B
Sample savings$8.5397.5%
10x traffic gap$85.3
Qwen3 14B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $85.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 14B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 14B | GPT-5.2 Chat |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 14B | $0.62 | $15.75 |
| Balanced workload | 1M input + 1M output | Qwen3 14B | $0.34 | $15.75 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 14B | $1.3 | $71.75 |
Qwen3 14B is $13.76 cheaper per 1M output tokens (98.3% lower; 58.3x difference).
Qwen3 14B has 3.7K more context (1.03x larger).
Qwen3 14B is $8.53 cheaper on the standard workload (97.5% 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 14B has the lower input price; Qwen3 14B has the lower output price; Qwen3 14B 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 $0.22 for Qwen3 14B and $8.75 for GPT-5.2 Chat.
Choose Qwen3 14B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT-5.2 Chat 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 14B is estimated at $0.22 vs $8.75 for GPT-5.2 Chat, saving $8.53 (97.5% lower).
- Qwen3 14B is $8.53 cheaper on the standard workload (97.5% lower).
- Qwen3 14B is $1.65 cheaper per 1M input tokens (94.3% lower; 17.5x difference).
- Qwen3 14B is $13.76 cheaper per 1M output tokens (98.3% lower; 58.3x difference).
- Qwen3 14B has 3.7K more context (1.03x larger).
| Feature | Qwen3 14B (Qwen) | GPT-5.2 Chat (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $1.75 |
| Completion Price per 1M tokens | $0.24 | $14 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $8.75 |
| Context Window | 131.7K | 128K |
| Release Date | ||
| Popularity | #138 | #139 |
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 $8.75 for GPT-5.2 Chat, saving $8.53 (97.5% lower). |
| High-volume input processing | Qwen3 14B | 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 | Qwen3 14B | 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.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
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Cheaper alternatives
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Open OpenAI modelsQwen3-14B 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...
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