DeepSeek V4 Flash
DeepSeek's ultra-efficient, open-weights MoE model featuring a 1M context window, hybrid attention, and strong agentic coding capabilities.
Get API key- Provider
- DeepSeek
- Price
- $0.17 in · $0.35 out / 1M
- Context window
- 1M tokens
- Released
- April 24, 2026
- License
- MIT License
What is DeepSeek V4 Flash?
DeepSeek V4 Flash is a highly efficient, open-weights Mixture-of-Experts (MoE) language model released by DeepSeek in April 2026. Featuring 284 billion total parameters (13 billion active), it delivers fast, cost-effective reasoning, advanced coding optimization, and native tool use across a massive 1-million-token context window.
Use it privately on Venice
On Venice, you can harness DeepSeek V4 Flash's advanced reasoning and agentic capabilities under our anonymized privacy tier, ensuring your prompts are never stored or used for training. This lets you run complex coding workflows and web-searched queries with complete sovereignty, bypassing Big Tech surveillance. It is the ultimate combination of open-source efficiency and zero-retention privacy.
What can it do?
- •Incredibly cost-effective API pricing for a 1M context model, making high-volume agentic workflows highly viable.
- •Hybrid Attention (Compressed Sparse Attention + Heavily Compressed Attention) architecture dramatically reduces KV cache and compute overhead for long-context tasks.
- •Strong agentic capabilities, performing on par with V4-Pro on simpler workflow automation, tool use, and structured JSON outputs.
- •Highly optimized for software engineering, mathematics, and complex technical problem-solving.
- •MIT licensed, allowing full commercial freedom, modification, and local self-hosting.
- •Active parameter size (13B) means complex, multi-step reasoning can occasionally fail compared to larger models like V4-Pro or Claude Sonnet.
- •Effective recall over the full 1M context window can degrade more quickly than closed frontier models like Gemini 3.5 Flash.
- •Not natively multimodal, lacking the advanced image, video, and audio capabilities of closed competitors.
DeepSeek V4 Flash capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use it via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call deepseek-v4-flash.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $0.17 per 1M input tokens and $0.35 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
DeepSeek V4 Flash vs alternatives
| Model | Active Parameters | Open weights | Context window | Price (Venice) |
|---|---|---|---|---|
| DeepSeek V4 Flash | 13B (MoE) | Yes | 1M tokens | $0.17 in · $0.35 out / 1M |
| DeepSeek V3.2 | N/A | Yes | 160K tokens | $0.33 in · $0.48 out / 1M |
| Google Gemma 4 31B Instruct | 31B (Dense) | Yes | 256K tokens | $0.12 in · $0.36 out / 1M |
| Claude Sonnet 4.6 | Closed | No | 1M tokens | $3.60 in · $18 out / 1M |
The cost-efficiency leader with massive context and strong agentic coding.
What is it good for?
- •High-volume agentic workflows and tool-use applications requiring low latency and low cost.
- •Repository-scale code analysis, automated debugging, and script generation.
- •Cost-sensitive data extraction and structured JSON generation from large documents.
- •Math, STEM, and technical problem-solving assistants.
- •Self-hosted enterprise AI agents requiring an MIT-licensed foundation.
Prompting tips
- •Use system prompts to define clear tool schemas; the model excels at structured JSON outputs and function calling.
- •For complex reasoning tasks, explicitly prompt the model to think step-by-step to leverage its MoE architecture.
- •Keep context under 200K tokens for maximum needle-in-a-haystack recall accuracy, despite the 1M limit.
Version history
Previous generation MoE model.
Current lightweight MoE with Hybrid Attention.
CurrentFlagship 1.6T MoE model released alongside Flash.
Frequently asked questions
DeepSeek V4 Flash is a lightweight, open-weights Mixture-of-Experts (MoE) model released by DeepSeek in April 2026. It features 284B total parameters (13B active) and supports a 1-million-token context window.
It is highly economical, costing $0.17 per 1M input tokens ($0.03 for cached inputs) and $0.35 per 1M output tokens. There are no subscription requirements to use it via the Venice API.
Yes, it is released under the permissive MIT license, meaning its weights are open source and free to download, modify, and self-host. You can also run it on Venice without managing infrastructure.
Yes, it natively supports function calling, structured JSON output, and web search, making it highly optimized for agentic workflows.
Gemini 3.5 Flash is a closed-source model with superior multimodal capabilities and stronger long-context recall, but it is significantly more expensive. DeepSeek V4 Flash offers open weights, extreme cost efficiency, and comparable speed for text and coding tasks.
It uses a Mixture-of-Experts (MoE) architecture with a Hybrid Attention mechanism (Compressed Sparse Attention and Heavily Compressed Attention) to minimize memory and compute costs over long contexts.
Venice routes your requests through an anonymized privacy tier. Your prompts and outputs are never stored, logged, or used to train models, ensuring complete data sovereignty.
Related models
Run DeepSeek V4 Flash privately.
No prompt logging. No data used for training. Free to start — no credit card.
