DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a high-performance, agentic-focused model with 284B parameters and 13B active, now officially released with enhanced tool use and reasoning.
Get API keyWhat is DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0731 is a high-performance AI model from DeepSeek AI, released on July 31, 2026. It features 284B total parameters with 13B active at inference, optimized for agentic workflows, function calling, and code generation, now publicly available with MIT-licensed open weights.
Use DeepSeek V4 Flash 0731 privately on Venice
On Venice, DeepSeek V4 Flash 0731 runs with zero retention — your prompts are never stored or used for training. It supports tool use, web search, and structured output, making it ideal for private, uncensored agent workflows. You get full sovereignty over sensitive tasks without sacrificing performance.
What can DeepSeek V4 Flash 0731 do?
- •Exceptional agentic performance — outperforms DeepSeek-V4-Pro-Preview on all published benchmarks despite fewer active parameters.
- •Supports function calling, web search, and code-optimized output for real-world automation tasks.
- •1M token context window enables long-document reasoning and complex codebase navigation.
- •Open weights under MIT license allow self-hosting, fine-tuning, and full transparency.
- •Highly cost-efficient with Venice’s zero-retention privacy and optional caching discounts.
- •Not uncensored — content moderation policies apply per DeepSeek’s terms.
- •No end-to-end encryption or TEE isolation on Venice, limiting compliance for some regulated use cases.
- •Verbosity can be high — may generate more tokens than necessary for some tasks.
DeepSeek V4 Flash 0731 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 DeepSeek V4 Flash 0731 via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call deepseek-v4-flash-0731.
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-0731",
"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 0731 vs alternatives
| Model | Max resolution | Strongest at | Open weights | Price (Venice) |
|---|---|---|---|---|
| DeepSeek V4 Flash 0731 | N/A | Agentic coding & automation | No | $0.17 in · $0.35 out / 1M |
| Claude Opus 5 | N/A | Reasoning & accuracy | No | $6 in · $30 out / 1M |
| Google Gemma 4 31B Instruct | N/A | Efficiency & open weights | Yes | $0.12 in · $0.36 out / 1M |
| GLM 5.1 | N/A | Multilingual & enterprise | Yes | $1.54 in · $4.84 out / 1M |
Top-tier agentic performance with open weights and 1M context.
What is DeepSeek V4 Flash 0731 good for?
- •Autonomous coding agents and software development pipelines.
- •Private research assistants with web search and citation.
- •Long-context document analysis and summarization across legal or financial datasets.
- •Tool-integrated workflows like API orchestration, data scraping, and task automation.
- •Cost-sensitive production deployments where open weights and caching reduce TCO.
Prompting tips
- •Use structured JSON output mode for reliable parsing in agent workflows.
- •Leverage web search capability when up-to-date information is required.
- •Set temperature=1.0 and top_p=0.95 for maximum reasoning effort in complex tasks.
- •Use cached input for repeated context to take advantage of 98% cost reduction.
Version history
Initial preview release with lower agentic performance.
CurrentOfficial release with re-post-training, open weights, and enhanced agent capabilities.
Frequently asked questions
DeepSeek V4 Flash 0731 is a high-performance AI model from DeepSeek AI, released on July 31, 2026. It features 284B total parameters with 13B active at inference, optimized for agentic workflows, function calling, and code generation, now publicly available with MIT-licensed open weights.
On Venice, DeepSeek V4 Flash 0731 costs $0.17 per 1M input tokens and $0.35 per 1M output tokens. Cached input is billed at just $0.04 per 1M tokens, offering significant savings for repeated context.
Yes. DeepSeek V4 Flash 0731 is open weights under the permissive MIT license, allowing free use, modification, and self-hosting. It is not subscription-based and can be run independently.
Yes. DeepSeek V4 Flash 0731 supports function calling and tool use, making it ideal for building autonomous agents, integrating APIs, and automating complex workflows.
DeepSeek V4 Flash 0731 supports a 1,000K (1M) token context window, enabling long-context reasoning, document analysis, and codebase-level understanding.
Yes. DeepSeek V4 Flash 0731 supports web search, allowing it to retrieve and cite up-to-date information during inference, which is useful for research and real-time data tasks.
DeepSeek V4 Flash 0731 excels in agentic coding and automation with open weights and lower cost, while Claude Opus 5 leads in general reasoning and accuracy but is closed and 35x more expensive. Choose Flash for open, cost-efficient agents; Opus for high-stakes reasoning.
Related models
Run DeepSeek V4 Flash 0731 privately.
No prompt logging. No data used for training. Free to start — no credit card.