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DeepSeek V4 Pro
LLM
PRO

DeepSeek V4 Pro

DeepSeek V4 Pro is a state-of-the-art large language model combining efficient sparse attention, strong reasoning, and integrated agent capabilities for robust long-context understanding and versatile AI applications.

DeepSeek V4 Pro
MiniMax M2.7
Kimi K2.5
Qwen3.5 122B A10B
分类
模型系列
共 11 个模型,当前显示 11 个
最新
NEW
Qwen3.6 35B A3B
LLM

Qwen3.6 35B A3B

The latest Qwen reasoning model.

262.1K 上下文:
输入类型:
输出类型:
上下文:262.14K
输入:$0.186/M tokens
输出:$1.114/M tokens
最大输出:65.54K
$0.186/1.114M 输入/输出
NEW
Qwen3.6 Plus
LLM

Qwen3.6 Plus

Versatile model for chat, and productivity workflows.

1000.0K 上下文:
输入类型:
输出类型:
上下文:1000.00K
输入:$0.325/M tokens
输出:$1.95/M tokens
最大输出:65.54K
$0.325/1.95M 输入/输出
Cache-Based
Gradient-Based
NEW
Qwen3.5 122B A10B
LLM

Qwen3.5 122B A10B

Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

262.1K 上下文:
输入类型:
输出类型:
上下文:262.14K
输入:$0.3/M tokens
输出:$2.4/M tokens
最大输出:65.54K
$0.3/2.4M 输入/输出
NEW
Qwen3.5 35B A3B
LLM

Qwen3.5 35B A3B

Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

262.1K 上下文:
输入类型:
输出类型:
上下文:262.14K
输入:$0.225/M tokens
输出:$1.8/M tokens
最大输出:65.54K
$0.225/1.8M 输入/输出
NEW
Qwen3.5 27B
LLM

Qwen3.5 27B

Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

262.1K 上下文:
输入类型:
输出类型:
上下文:262.14K
输入:$0.27/M tokens
输出:$2.16/M tokens
最大输出:65.54K
$0.27/2.16M 输入/输出
NEW
Qwen3.5 397BA17B
LLM

Qwen3.5 397BA17B

Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

262.1K 上下文:
输入类型:
输出类型:
上下文:262.14K
输入:$0.55/M tokens
输出:$3.5/M tokens
最大输出:65.54K
$0.55/3.5M 输入/输出
Cache-Based
NEW
Qwen3.7 Max
LLM

Qwen3.7 Max

Flagship model for advanced reasoning, coding, and complex tasks.

1000.0K 上下文:
输入类型:
输出类型:
上下文:1000.00K
输入:$2.5/M tokens
输出:$7.5/M tokens
最大输出:67.07K
$2.5/7.5M 输入/输出
Cache-Based
NEW
Qwen3.7 Plus
LLM

Qwen3.7 Plus

Balanced model combining strong capability, speed, and efficiency.

1000.0K 上下文:
输入类型:
输出类型:
上下文:1000.00K
输入:$0.4/M tokens
输出:$1.6/M tokens
最大输出:67.07K
$0.4/1.6M 输入/输出
Cache-Based
Gradient-Based
NEW
Qwen3.5 Plus
LLM

Qwen3.5 Plus

Efficient model for everyday tasks and AI assistants.

1000.0K 上下文:
输入类型:
输出类型:
上下文:1000.00K
输入:$0.4/M tokens
输出:$2.4/M tokens
最大输出:67.07K
$0.4/2.4M 输入/输出
Cache-Based
Gradient-Based
NEW
Qwen3.5 Flash
LLM

Qwen3.5 Flash

Fast model optimized for instant responses and large-scale usage.

1000.0K 上下文:
输入类型:
输出类型:
上下文:1000.00K
输入:$0.1/M tokens
输出:$0.4/M tokens
最大输出:67.07K
$0.1/0.4M 输入/输出
NEW
HOT
Qwen3-235B-A22B-Instruct-2507
LLM

Qwen3-235B-A22B-Instruct-2507

235B-parameter MoE thinking model in Qwen3 series.

131.1K 上下文:
输入类型:
输出类型:
上下文:131.07K
输入:$0.2/M tokens
输出:$0.88/M tokens
最大输出:131.07K
$0.2/0.88M 输入/输出

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