Qwen3 14B Pricing
FastQwen · 132K tokens context
Qwen3 14B from Qwen costs $0.100 per 1 million input tokens and $0.240 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,702-token context window (approximately 98,777 words) with a 41K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0010.
| Input price | $0.100 / 1M tokens |
|---|---|
| Output price | $0.240 / 1M tokens |
| Output / input ratio | 2.4× |
| Context window | 131,702 tokens (~98,777 words) |
| Maximum output | 40,960 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
Qwen3-14B is a dense 14. 8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
Input Price
$0.100
per 1 million tokens
Output Price
$0.240
per 1 million tokens
Context Window
132K tokens
max 41K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000133 | $0.000096 |
| 10-page document (2,500 words) | 3,333 | $0.000333 | $0.00024 |
| 1,000 lines of code | 5,000 | $0.0005 | $0.00036 |
| 100K token document | 100,000 | $0.01 | $0.0072 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.100/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Qwen3 14B Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact Qwen3 14B costs — and compare across all models.
Open Calculator →Qwen3 14B — FAQ
Related Models
Related Guides