Alibaba Qwen · 2025-04-28
Qwen3 14B pricing
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
Prices from OpenRouter’s models API, updated October 29, 2026
What Qwen3 14B costs a month
| Workload | Standard |
|---|---|
| Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out | $8.28 |
| Daily summaries: 10,000 a day, 3,000 tokens in, 300 out | $130 |
| Coding agent: 400 calls a day, 60,000 tokens in (80% cached), 2,000 out | $92.16 |
30 days. Cached input billed at the cache-read price. Use your own numbers.
Cheaper models with a similar context window
| Model | Provider | Input /1M | Output /1M | Cache read /1M | Context | Chatbot, per month* |
|---|---|---|---|---|---|---|
| Ling 3.0 Flash | inclusionai | $0.021 | $0.063 | $0.0042 | 262K | $1.70 |
| GLM 5.3 Flash | Z.ai | $0.046 | $0.074 | $0.03 | 1.05M | $2.95 |
| Qwen3.7 Flash | Alibaba Qwen | $0.03 | $0.13 | $0.006 | 1M | $2.91 |
| Mercury 2.5 | inception | $0.04 | $0.15 | $0.004 | 260K | $3.60 |
| Laguna XS 2.1 free variant | poolside | $0.06 | $0.12 | $0.03 | 262K | $4.14 |
* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.
Cheaper isn’t automatically as good. Glow’s GlowBench scores models on your kind of task before suggesting a swap.
Other Qwen models
| Model | Input /1M | Output /1M | Cache read /1M | Context | Chatbot, per month* |
|---|---|---|---|---|---|
| Qwen3.8 Max Prime | $4 | $12 | $0.50 | 1M | $324 |
| Qwen3.8 Omni Flash | $0.15 | $0.47 | $0.016 | 1M | $12.39 |
| Qwen3.8 Max (0902) | $2 | $6 | $0.25 | 1M | $162 |
| Qwen3.8 Flash | $0.15 | $0.47 | $0.016 | 1M | $12.39 |
| Qwen3.8 27B | $0.039 | $1.25 | $0.0039 | 1M | $16.75 |
| Qwen3.8 2.4T A95B | $2 | $6 | $0.25 | 1.05M | $162 |
* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.
Related
Qwen3 14B: questions
How much does Qwen3 14B cost?
$0.12 per 1M input tokens and $0.24 per 1M output tokens. A 1,000-token prompt with a 500-token answer costs about $0.0002.
What is Qwen3 14B’s context window?
40,960 tokens, with up to 16,384 output tokens per response.
Is there a cheaper alternative to Qwen3 14B?
Ling 3.0 Flash costs $0.021 in and $0.063 out per 1M tokens with a similar context window. Whether it matches Qwen3 14B’s quality depends on the task: test it on your own prompts (Glow’s GlowBench does this per task).
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