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Perplexity CEO Praises Kimi K2 Model and May Conduct Further Training

7.7k 11 hours ago
Perplexity CEO Praises Kimi K2 Model and May Conduct Further Training

DeepSeek R1 Model Shocks the AI World: Low-Cost, High Efficiency Leads a New Industry Track

8.1k 2 days ago
DeepSeek R1 Model Shocks the AI World: Low-Cost, High Efficiency Leads a New Industry Track

Stanford's Latest Evaluation: DeepSeek R1 Medical AI Model Outperforms Google and OpenAI with High Scores

9.1k 6 days ago
Stanford's Latest Evaluation: DeepSeek R1 Medical AI Model Outperforms Google and OpenAI with High Scores

DeepSeek may have used Google Gemini data to train new AI model

11.2k 14 hours ago
DeepSeek may have used Google Gemini data to train new AI model

AI Products

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R1-Omni

R1-Omni is a full-modality emotion recognition model incorporating reinforcement learning, focusing on improving the interpretability of multimodal emotion recognition.

Emotional companionship
13.1k

Models

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o3-mini

Openai

o3-mini

$7.7

Input tokens/M

$30.8

Output tokens/M

200

Context Length

Qianfan-Lightning

Baidu

Qianfan-Lightning

-

Input tokens/M

-

Output tokens/M

128

Context Length

qwen3-omni-flash-realtime

Alibaba

qwen3-omni-flash-realtime

$3.9

Input tokens/M

$15.2

Output tokens/M

64

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

GPT OSS 120B

Openai

GPT OSS 120B

$0.63

Input tokens/M

$3.15

Output tokens/M

131

Context Length

Doubao-1.5-thinking-pro

Bytedance

Doubao-1.5-thinking-pro

$4

Input tokens/M

$16

Output tokens/M

128

Context Length

Doubao-1.5-UI-TARS

Bytedance

Doubao-1.5-UI-TARS

$3.5

Input tokens/M

$12

Output tokens/M

128

Context Length

Spark Medical Large Model - Lite

Iflytek

Spark Medical Large Model - Lite

$2

Input tokens/M

-

Output tokens/M

8

Context Length

Qwen3-14B

Alibaba

Qwen3-14B

$1

Input tokens/M

-

Output tokens/M

32

Context Length

ERNIE X1 Turbo

Baidu

ERNIE X1 Turbo

$1

Input tokens/M

$4

Output tokens/M

64

Context Length

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed

-

Input tokens/M

-

Output tokens/M

-

Context Length

Hunyuan-A13B

Tencent

Hunyuan-A13B

$0.5

Input tokens/M

$2

Output tokens/M

224

Context Length

Hunyuan-T1-Vision

Tencent

Hunyuan-T1-Vision

$3

Input tokens/M

$9

Output tokens/M

16

Context Length

Doubao-embedding

Bytedance

Doubao-embedding

$0.5

Input tokens/M

-

Output tokens/M

-

Context Length

Pangu-NLP-N2-Reasoner-32K-3.0.1.1

Huawei

Pangu-NLP-N2-Reasoner-32K-3.0.1.1

-

Input tokens/M

-

Output tokens/M

32

Context Length

Pangu-NLP-N1-Reasoner-128K-3.0.1.1

Huawei

Pangu-NLP-N1-Reasoner-128K-3.0.1.1

-

Input tokens/M

-

Output tokens/M

128

Context Length

Pangu-NLP-N2-Reasoner-128K-5.0.0.1

Huawei

Pangu-NLP-N2-Reasoner-128K-5.0.0.1

-

Input tokens/M

-

Output tokens/M

128

Context Length

Pangu-NLP-N4-Reasoner-32K-3.0.1.2

Huawei

Pangu-NLP-N4-Reasoner-32K-3.0.1.2

-

Input tokens/M

-

Output tokens/M

32

Context Length

R1 Code Interpreter 14B

yongchao98

R

R1-Code-Interpreter is the first framework that uses multi-round supervised fine-tuning and reinforcement learning to train large language models for step-by-step code reasoning. It supports 144 different reasoning and planning tasks, enabling the model to autonomously decide when and how to invoke code.

Natural Language ProcessingTransformersTransformers
yongchao98
522
2

OctoThinker 3B Hybrid Zero

OctoThinker

O

OctoThinker-3B-Hybrid-Zero is a reinforcement learning-based language model built on the Llama-3 family and trained using R1-Zero style reinforcement learning techniques.

Natural Language ProcessingSafetensorsSafetensorsEnglish
OctoThinker
210
1

Fathom R1 14B RS

FractalAIResearch

F

Fathom-R1-14B is a project based on the R1-distilled-14B model, achieving o4-mini level mathematical reasoning ability under a 16K context with a low training cost of $499.

Natural Language ProcessingTransformersTransformers
FractalAIResearch
404
1

VLAA Thinker Qwen2.5VL 3B

UCSC-VLAA

V

VLAA-Thinker-Qwen2.5-3B is a large visual language model for reasoning similar to R1, focusing on multimodal reasoning tasks. This model has achieved state-of-the-art performance on the OpenCompass multimodal reasoning leaderboard and supports image understanding and complex reasoning abilities.

MultimodalTransformersTransformers
UCSC-VLAA
8.9k
5
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