Context Window
40,960
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0600
Output: $0.2400
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen3 14B, developed by Qwen, offers a substantial context window of 40,960 tokens, making it suitable for applications requiring extensive text comprehension and generation, such as document summarization and conversational AI. Teams utilizing this API model can expect an input cost of $0.06 per million tokens and an output cost of $0.24 per million tokens, which allows for budget forecasting based on usage patterns. This pricing structure supports various use cases, from large-scale content creation to interactive chatbots, enabling teams to optimize their spending according to their specific project needs.
Context Window
40,960
Tokens
Input Price / 1M
$0.0600
Prompt tokens
Output Price / 1M
$0.2400
Completion tokens
Intelligence (MMLU)
67.5
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen3 14B.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0600 |
| Output (Completion) | $0.2400 |
Price History
Current Input / 1M
$0.0600
Current Output / 1M
$0.2400
Estimate monthly spend for Qwen: Qwen3 14B based on your workload.
Estimated Monthly Cost
$4.38
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen3 14B.
Qwen: Qwen3 14B input pricing is $0.0600 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 14B output pricing is $0.2400 per 1M tokens based on the latest synced provider data.
Qwen: Qwen3 14B supports a context window of 40,960 tokens.
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.