Context Window
131,072
Input tokens
Full-context input ≈ $0.06
Model Cost Profile
Developer: qwen· Tokenizer: Qwen3 · Instruct: qwen3 · Quantization: unknown
Canonical ID: qwen/qwen3-235b-a22b-04-28
Pricing updated Apr 22, 2026
Live Pricing
Input: $0.4550
Output: $1.82
Last synced Apr 22, 2026 · MMLU score via public benchmark data
Qwen3 235B A22B, developed by Qwen, offers a substantial context window of 131,072 tokens, making it ideal for applications requiring extensive text comprehension and generation, such as legal document analysis and long-form content creation. With an input price of $0.45 per million tokens and an output price of $1.82 per million tokens, teams can effectively budget for projects that demand high-volume data processing and nuanced language understanding. This model's pricing structure allows for scalable usage, catering to both small teams and larger enterprises looking to leverage advanced AI capabilities without incurring prohibitive costs.
Context Window
131,072
Input tokens
Full-context input ≈ $0.06
Max Output
8,192
Completion tokens
Input Price / 1M
$0.4550
Prompt tokens
Output Price / 1M
$1.82
Completion tokens
Top Benchmark
76.2
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Qwen: Qwen3 235B A22B. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.4550
Current Output / 1M
$1.82
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4550 |
| Output (Completion) | $1.82 |
Estimate monthly spend for Qwen: Qwen3 235B A22B based on your workload.
Estimated Monthly Cost
$33
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.