Model Cost Profile

Qwen: Qwen3.5-35B-A3B

Developer: qwen

Pricing updated Mar 11, 2026

Input rank: #124Output rank: #195

Live Pricing

Input: $0.1625

Output: $1.30

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Qwen3.5-35B-A3B, developed by qwen, offers a substantial context window of 262,144 tokens, making it suitable for applications requiring extensive data processing, such as legal document analysis and large-scale content generation. With an input price of $0.16 per million tokens and an output price of $1.30 per million tokens, teams can effectively budget for projects that demand high throughput and complex interactions. This model is ideal for organizations needing to manage large datasets or create detailed conversational agents while keeping operational costs in check.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

262,144

Tokens

Input Price / 1M

$0.1625

Prompt tokens

Output Price / 1M

$1.30

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Qwen: Qwen3.5-35B-A3B Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1625$0.7313$1.30Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1625

Current Output / 1M

$1.30

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Qwen: Qwen3.5-35B-A3B.

How much does Qwen: Qwen3.5-35B-A3B cost per 1M input tokens?

Qwen: Qwen3.5-35B-A3B input pricing is $0.1625 per 1M tokens based on the latest synced provider data.

How much does Qwen: Qwen3.5-35B-A3B cost per 1M output tokens?

Qwen: Qwen3.5-35B-A3B output pricing is $1.30 per 1M tokens based on the latest synced provider data.

What context window does Qwen: Qwen3.5-35B-A3B support?

Qwen: Qwen3.5-35B-A3B supports a context window of 262,144 tokens.

How can I compare Qwen: Qwen3.5-35B-A3B with cheaper alternatives?

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.