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14 Days to Break 1 Million Downloads! Zhipu GLM-4.7-Flash Leads the Open Source Large Model SOTA

12.3k 5 hours ago
14 Days to Break 1 Million Downloads! Zhipu GLM-4.7-Flash Leads the Open Source Large Model SOTA

Models

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GPT-5 Codex

Openai

GPT-5 Codex

-

Input tokens/M

-

Output tokens/M

-

Context Length

Claude Haiku 4.5

Anthropic

Claude Haiku 4.5

$7

Input tokens/M

$35

Output tokens/M

200

Context Length

qwen3-vl-235b-a22b-thinking

Alibaba

qwen3-vl-235b-a22b-thinking

$2

Input tokens/M

$20

Output tokens/M

-

Context Length

qwen3-vl-plus

Alibaba

qwen3-vl-plus

$1

Input tokens/M

$10

Output tokens/M

256

Context Length

Qwen3-Next-80B-A3B-Instruct

Alibaba

Qwen3-Next-80B-A3B-Instruct

$2

Input tokens/M

-

Output tokens/M

256

Context Length

Kimi-K2

Moonshot

Kimi-K2

$4

Input tokens/M

$16

Output tokens/M

256

Context Length

Doubao-Seed-1.6

Bytedance

Doubao-Seed-1.6

$0.8

Input tokens/M

$2

Output tokens/M

256

Context Length

Doubao-Seed-1.6-flash

Bytedance

Doubao-Seed-1.6-flash

$0.15

Input tokens/M

$1.5

Output tokens/M

256

Context Length

Doubao-Seed-1.6-vision

Bytedance

Doubao-Seed-1.6-vision

$0.8

Input tokens/M

$8

Output tokens/M

256

Context Length

Hunyuan-T1-20250822

Tencent

Hunyuan-T1-20250822

$1

Input tokens/M

$4

Output tokens/M

32

Context Length

Hunyuan-T1-latest

Tencent

Hunyuan-T1-latest

$1

Input tokens/M

$4

Output tokens/M

32

Context Length

DeepSeek-V3.1

Deepseek

DeepSeek-V3.1

$4

Input tokens/M

$12

Output tokens/M

128

Context Length

Qwen3-1.7B

Alibaba

Qwen3-1.7B

-

Input tokens/M

-

Output tokens/M

32

Context Length

gpt-oss-20b

Openai

gpt-oss-20b

$0.4

Input tokens/M

-

Output tokens/M

128

Context Length

Qwen3-30B-A3B-Instruct-2507

Alibaba

Qwen3-30B-A3B-Instruct-2507

$0.75

Input tokens/M

-

Output tokens/M

256

Context Length

Doubao-Seed-1.6-thinking

Bytedance

Doubao-Seed-1.6-thinking

$0.8

Input tokens/M

$8

Output tokens/M

256

Context Length

GLM-4.5-Flash

Chatglm

GLM-4.5-Flash

-

Input tokens/M

-

Output tokens/M

128

Context Length

GLM-4.5

Chatglm

GLM-4.5

$2

Input tokens/M

$8

Output tokens/M

128

Context Length

GLM-4.5-AirX

Chatglm

GLM-4.5-AirX

-

Input tokens/M

-

Output tokens/M

128

Context Length

GLM-4.5-X

Chatglm

GLM-4.5-X

$8

Input tokens/M

$16

Output tokens/M

128

Context Length

Qwen3 Next 80B A3B Thinking GGUF

jackcloudman

Q

Qwen3-Next-80B-A3B-Thinking is a new-generation thinking large language model launched by the Tongyi Qianwen team. It adopts an innovative hybrid attention mechanism and a highly sparse MoE architecture. While maintaining efficient reasoning, it has powerful complex reasoning capabilities and natively supports a context length of 262K.

Natural Language ProcessingTransformersTransformers
jackcloudman
3k
1

NVIDIA Nemotron Nano 9B V2

unsloth

N

NVIDIA Nemotron Nano 9B v2 is a high-performance large language model developed by NVIDIA. It adopts the Mamba2-Transformer hybrid architecture, supports multilingual inference and chat tasks, and performs excellently in multiple benchmark tests. It especially supports the runtime 'thinking' budget control function.

Natural Language ProcessingTransformersTransformersMultiple Languages
unsloth
115
1

Hermes 4 14B AWQ 4bit

cpatonn

H

Hermes 4 14B is a cutting-edge hybrid mode reasoning model developed by Nous Research based on Qwen 3 14B. It performs excellently in mathematics, code, STEM, logic, creativity, and format-faithful output, with explicit thinking processes and tool call capabilities.

Natural Language ProcessingTransformersTransformersEnglish
cpatonn
107
1

DeepSeek V3.1 BF16

unsloth

D

DeepSeek-V3.1 is a large language model developed by DeepSeek-AI and is an upgraded version of DeepSeek-V3. This model supports both hybrid thinking mode and non-thinking mode, and performs excellently in tool invocation, code generation, mathematical reasoning, etc., supporting a context length of 128K.

Natural Language ProcessingTransformersTransformers
unsloth
2.7k
1

NVIDIA Nemotron Nano 9B V2

nvidia

N

NVIDIA-Nemotron-Nano-9B-v2 is a large language model trained from scratch by NVIDIA, designed for both inference and non-inference tasks. It adopts the Mamba2 - Transformer hybrid architecture, supports multilingual processing, has controllable inference capabilities, allows users to specify the thinking budget, and performs excellently in commercial applications and AI agent systems.

Natural Language ProcessingTransformersTransformersMultiple Languages
nvidia
722
58

Loqwqtus2.5 32B Instruct

maldv

L

A standardized denoising Fourier interpolation hybrid model based on the Qwen series, renowned for high-quality responses and emotional resonance as a thinking-oriented large language model

Natural Language ProcessingTransformersTransformersEnglish
maldv
77
2
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