Context Window
131,072
Input tokens
Full-context input ≈ $0.00
Model Cost Profile
Developer: qwen· Tokenizer: Qwen · Quantization: unknown
Canonical ID: qwen/qwen-turbo-2024-11-01
Pricing updated Apr 24, 2026
Live Pricing
Input: $0.0325
Output: $0.1300
Last synced Apr 24, 2026 · MMLU score via public benchmark data
Qwen-Turbo, developed by qwen, features an extensive context window of 131,072 tokens, making it ideal for applications requiring deep contextual understanding, such as long-form content generation and complex conversational agents. With an input price of $0.05 per million tokens and an output price of $0.20 per million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks like data analysis and customer support automation. This pricing structure allows organizations to scale their usage according to project needs, ensuring flexibility and budget control.
Context Window
131,072
Input tokens
Full-context input ≈ $0.00
Max Output
8,192
Completion tokens
Input Price / 1M
$0.0325
Prompt tokens
Output Price / 1M
$0.1300
Completion tokens
Top Benchmark
63.3
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Qwen: Qwen-Turbo. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.0325
Current Output / 1M
$0.1300
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0325 |
| Output (Completion) | $0.1300 |
| Cache Read | $0.0065 |
Estimate monthly spend for Qwen: Qwen-Turbo based on your workload.
Estimated Monthly Cost
$2.37
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.