AI Models

Qwen2.5 Coder 32B Instruct

qwen/qwen-2.5-coder-32b-instruct

Reasoning

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

Input

10 897/M so'm

$0.86

Output

16 510/M so'm

$1.30

data_array 128K context

Qwen: Qwen Plus 0728

qwen/qwen-plus-2025-07-28

Reasoning

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Input

4 293/M so'm

$0.34

Output

12 878/M so'm

$1.01

data_array 1,000K context

Qwen: Qwen Plus 0728 (thinking)

qwen/qwen-plus-2025-07-28:thinking

Reasoning

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Input

4 293/M so'm

$0.34

Output

12 878/M so'm

$1.01

data_array 1,000K context

Qwen: Qwen-Plus

qwen/qwen-plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

Input

4 293/M so'm

$0.34

Output

12 878/M so'm

$1.01

data_array 1,000K context

Qwen: Qwen2.5 7B Instruct

qwen/qwen-2.5-7b-instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

Input

660/M so'm

$0.05

Output

1 651/M so'm

$0.13

data_array 131K context

Qwen: Qwen2.5 VL 72B Instruct

qwen/qwen2.5-vl-72b-instruct

Vision

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

Input

13 208/M so'm

$1.04

Output

16 510/M so'm

$1.30

data_array 131K context

Qwen: Qwen3 14B

qwen/qwen3-14b

Reasoning

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

Input

1 651/M so'm

$0.13

Output

3 962/M so'm

$0.31

data_array 132K context

Qwen: Qwen3 235B A22B

qwen/qwen3-235b-a22b

Reasoning

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...

Input

7 512/M so'm

$0.59

Output

30 048/M so'm

$2.37

data_array 131K context

Qwen: Qwen3 235B A22B Instruct 2507

qwen/qwen3-235b-a22b-2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

Input

1 486/M so'm

$0.12

Output

1 651/M so'm

$0.13

data_array 262K context

Qwen: Qwen3 235B A22B Thinking 2507

qwen/qwen3-235b-a22b-thinking-2507

Reasoning

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

Input

1 651/M so'm

$0.13

Output

1 651/M so'm

$0.13

data_array 262K context

Qwen: Qwen3 30B A3B

qwen/qwen3-30b-a3b

Reasoning

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

Input

1 981/M so'm

$0.16

Output

8 255/M so'm

$0.65

data_array 131K context

Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

Input

795/M so'm

$0.06

Output

3 187/M so'm

$0.25

data_array 131K context

Qwen: Qwen3 30B A3B Thinking 2507

qwen/qwen3-30b-a3b-thinking-2507

Reasoning

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...

Input

1 321/M so'm

$0.10

Output

6 604/M so'm

$0.52

data_array 131K context

Qwen: Qwen3 32B

qwen/qwen3-32b

Reasoning

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

Input

1 321/M so'm

$0.10

Output

4 623/M so'm

$0.36

data_array 131K context

Qwen: Qwen3 8B

qwen/qwen3-8b

Reasoning

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Input

826/M so'm

$0.07

Output

6 604/M so'm

$0.52

data_array 131K context

Qwen: Qwen3 Coder 30B A3B Instruct

qwen/qwen3-coder-30b-a3b-instruct

Code

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...

Input

1 156/M so'm

$0.09

Output

4 458/M so'm

$0.35

data_array 160K context

Qwen: Qwen3 Coder 480B A35B

qwen/qwen3-coder

Reasoning

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

Input

3 632/M so'm

$0.29

Output

29 718/M so'm

$2.34

data_array 1,049K context

Qwen: Qwen3 Coder 480B A35B (free)

qwen/qwen3-coder:free

free_breakfast Free Reasoning

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

Input

Free

Output

Free

data_array 1,049K context

Qwen: Qwen3 Coder Flash

qwen/qwen3-coder-flash

Code

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...

Input

3 219/M so'm

$0.25

Output

16 097/M so'm

$1.27

data_array 1,000K context

Qwen: Qwen3 Coder Next

qwen/qwen3-coder-next

Code

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

Input

1 816/M so'm

$0.14

Output

13 208/M so'm

$1.04

data_array 262K context

Qwen: Qwen3 Coder Plus

qwen/qwen3-coder-plus

Code

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...

Input

10 732/M so'm

$0.85

Output

53 658/M so'm

$4.23

data_array 1,000K context

Qwen: Qwen3 Max

qwen/qwen3-max

Reasoning

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...

Input

12 878/M so'm

$1.01

Output

64 389/M so'm

$5.07

data_array 262K context

Qwen: Qwen3 Max Thinking

qwen/qwen3-max-thinking

Reasoning

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

Input

12 878/M so'm

$1.01

Output

64 389/M so'm

$5.07

data_array 262K context

Qwen: Qwen3 Next 80B A3B Instruct

qwen/qwen3-next-80b-a3b-instruct

Reasoning

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

Input

1 486/M so'm

$0.12

Output

18 161/M so'm

$1.43

data_array 262K context