Qwen
Basic
Qwen3.5 35B-A3B
qwen3.5-35b-a3b
Mixture-of-experts (MoE) model combining efficiency and quality for code and reasoning.
技術仕様
| API識別子 | qwen3.5-35b-a3b |
|---|---|
| プラン | Basic |
| 最大コンテキスト | 262 144 tokens |
| ビジョン（画像） | いいえ |
| ネイティブWebアクセス | いいえ |
| 画像生成 | いいえ |
| 入力コスト | $0.30 / M tokens |
| 出力コスト | $1.20 / M tokens |
概要
Qwen3.5 35B-A3B uses a mixture-of-experts (MoE) architecture: 35 billion total parameters, but only 3 billion activated per request. This design achieves quality close to a larger model while keeping inference speed high. With 262K tokens of context, Mingo selects it on the Basic plan for intermediate code and reasoning tasks.
強み
Efficient MoE architectureCode and reasoning262K contextGood value
理想的な使用例
Feature development
Implement complete features spanning several files.
Logical reasoning
Solve problems requiring several reasoning steps.
Code review
Analyze existing code and suggest improvements.
Advanced debugging
Identify subtle bugs in complex codebases.
料金
入力トークン
$0.30
100万トークンあたり
出力トークン
$1.20
100万トークンあたり
関連モデル
よくある質問
What is a mixture-of-experts (MoE) architecture?
It's an architecture where only a subset of the model's parameters (the "experts") is activated for each request, allowing a large model while keeping inference fast.
Is Qwen3.5 35B-A3B better than Qwen3.5 9B?
Yes, it offers superior quality for code and reasoning, and is reserved for the Basic plan.
Which plan includes Qwen3.5 35B-A3B?
It's available on Mingo's Basic plan.
Use Qwen3.5 35B-A3B with Mingo
Mingo routes your intermediate code and reasoning tasks to Qwen3.5 35B-A3B on the Basic plan.
Mingoを無料で試す