Qwen3 14B Pricing
FastQwen · 41K tokens context
Qwen3 14B from Qwen costs $0.120 per 1 million input tokens and $0.240 per 1 million output tokens as of October 2026 (live OpenRouter data). The model supports a 40,960-token context window (approximately 30,720 words) with a 16K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0012.
| Input price | $0.120 / 1M tokens |
|---|---|
| Output price | $0.240 / 1M tokens |
| Output / input ratio | 2.0× |
| Context window | 40,960 tokens (~30,720 words) |
| Maximum output | 16,384 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
$0.120
per 1 million tokens
Output Price
$0.240
per 1 million tokens
Context Window
41K tokens
max 16K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00016 | $0.000096 |
| 10-page document (2,500 words) | 3,333 | $0.0004 | $0.00024 |
| 1,000 lines of code | 5,000 | $0.0006 | $0.00036 |
| 100K token document | 100,000 | $0.012 | $0.0072 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.120/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Smaller 41K-token context limits long-document use
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
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