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x402engine DeepSeek V4 Flash LLM
x402
x402engine DeepSeek V4 Flash LLM is a paid API for AI agents from x402engine.app, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-29).
Runs DeepSeek's low-latency V4 Flash model for ultra-low-cost reasoning and coding tasks with up to 1M token context, accessible via x402 micropayment at $0.003 USDC per call
Price / call$0.003
Success—
StatusUnknown
How this service works
DeepSeek's low-latency V4 model — ultra-low-cost reasoning and coding with 1M context
Output
Returns a text completion from the DeepSeek V4 Flash model, including the generated content (code, reasoning, prose, etc.) and token usage metadata. Response follows a standard LLM chat completion format.
Example use cases
Automated code review for PRs
“Review this Python pull request diff and point out any bugs, edge cases, or style issues — use DeepSeek V4 Flash so it's fast and cheap: [paste diff here]”
Long document summarization
“Summarize this 200-page legal contract into a concise executive summary hitting the key obligations, deadlines, and risk clauses — use a 1M context model like DeepSeek V4 Flash to handle the full text.”
Agentic reasoning task on a budget
“I need to break down a complex multi-step data pipeline problem into subtasks and propose a solution architecture — use DeepSeek V4 Flash to reason through it without burning a lot of API budget.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/deepseek-v4-flash?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, very low-cost LLM inference call (especially for coding or reasoning) and want to pay per-call via USDC micropayments rather than a subscription. Ideal for agentic workflows that invoke LLMs frequently at scale, or when you need a 1M token context window without committing to a monthly plan. Prefer over GPT-4 or Claude when cost-per-call is the primary constraint and DeepSeek-quality output is sufficient.
Side effects
- 402 Payment Required if x402 USDC micropayment header is missing or insufficient
- prompt exceeds 1M token context window resulting in truncation or error
- rate limiting if too many concurrent requests are sent
- model returns truncated output if max_tokens is set too low
- malformed request body causes 400 error
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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