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Description

DeepSeek-V4-Flash is an optimized Mixture-of-Experts language model built for efficient large-scale AI workloads and fast inference. With 284 billion total parameters and 13 billion activated parameters, it delivers strong performance while maintaining lower computational demands compared to larger models. The model supports a massive context length of up to one million tokens, making it suitable for handling long-form content and multi-step workflows. Its hybrid attention mechanism improves efficiency by minimizing resource consumption while preserving accuracy. Trained on a dataset exceeding 32 trillion tokens, DeepSeek-V4-Flash performs well across reasoning, coding, and knowledge benchmarks. It offers flexible reasoning modes, enabling users to switch between quick responses and more detailed analytical outputs. The architecture is designed to support agentic workflows and scalable deployment environments. As an open-source model, it provides flexibility for customization and integration. Overall, DeepSeek-V4-Flash is a cost-effective and high-performance solution for modern AI applications.

Description

Sarvam-M is an advanced, multilingual large language model that integrates hybrid reasoning to excel in various Indian languages, mathematical tasks, and programming challenges all within a single, streamlined framework. It is built on the foundation of Mistral-Small, boasting a robust architecture with 24 billion parameters, which has been refined through supervised fine-tuning, reinforcement learning with clear rewards, and optimizations for inference to enhance both precision and efficiency. This model is meticulously trained to proficiently handle over ten prominent Indic languages, accommodating native scripts, romanized text, and code-mixed submissions, thereby facilitating smooth multilingual interactions in a variety of linguistic environments. Moreover, Sarvam-M adopts a hybrid reasoning framework, enabling it to alternate between an in-depth “thinking” mode for intricate tasks such as mathematics, logic puzzles, and programming, and a rapid response mode for everyday inquiries, providing an effective balance between speed and performance. This versatility makes Sarvam-M an invaluable tool for users looking to engage with technology in an increasingly diverse linguistic landscape.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Buda Yes 
Cheaper Inference Yes 
Cline Yes 
ClinePass Yes 
DeepSeek Yes 
DeepSeek Harness Yes 
DeepSeek-V4 Yes 
Novita AI Yes 
OpenClaw Yes 
OpenTag Yes 
Oxlo.ai Yes 
Reasonix Yes 
Sarvam AI No 
SnapVee Studio Yes 
Together AI Yes 
Vercel AI Gateway Yes 
ZooClaw Yes 

Integrations

Buda No 
Cheaper Inference No 
Cline No 
ClinePass No 
DeepSeek No 
DeepSeek Harness No 
DeepSeek-V4 No 
Novita AI No 
OpenClaw No 
OpenTag No 
Oxlo.ai No 
Reasonix No 
Sarvam AI Yes 
SnapVee Studio No 
Together AI No 
Vercel AI Gateway No 
ZooClaw No 

Pricing Details

$0.14 per 1M tokens (input)
DeepSeek V4 Flash API pricing per 1 million tokens is $0.14 for regular cache-miss inputs, $0.0028 for cache-hit inputs, and $0.28 for outputs.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

Vendor Details

Company Name

Sarvam

Founded

2023

Country

India

Website

www.sarvam.ai/blogs/sarvam-m

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