Let Hermes plan, then give routine steps to 1017.
Hermes can keep the goal and approval rules. 1017 can read the source pack, call an approved tool, and return a structured result.
← All AI models
HERMES API MODEL GUIDE
DeepSeek V4.1 Flash 1017
Give it repeatable Agent work: read sources, pull fields, sort items, and prepare tasks. Save the harder and more costly judgment calls for a stronger model.
1017 update · Hermes Agent
Use DeepSeek V4.1 Flash 1017 as the workhorse before you escalate.
DeepSeek V4.1 Flash 1017 is the current build behind the Hermes model ID deepseek/deepseek-v4.1-flash. You do not need a second Hermes connection. Keep one API setup, then use 1017 for long-context coding, tool calls, screenshot checks, and repeatable research.
Run many small jobs without paying flagship prices.
Use it for extraction, classification, tests, and first-pass code review. Send only unclear or high-risk decisions to a stronger model.
Use screenshots as evidence, not as a final decision.
It can inspect a UI screenshot or chart. A person should still check claims, permissions, prices, and anything that will be published.
At a glance
Use the fast model for the work that repeats.
You do not need the strongest model for every job. A weekly research brief, a product list cleanup, or a queue of support messages all include steps that are much the same each time. Flash is useful for those steps.
A fixed answer format tells the model exactly what to return, such as a name, price, category, and source URL. That makes errors easier to spot and later steps easier to automate.
- Model ID
- deepseek/deepseek-v4.1-flash
- Context window
- 1,048,576 tokens
- Input
- $0.265 / 1M tokens
- Output
- $1.059 / 1M tokens
- Cache read
- $0.005 / 1M tokens
- API features
- Tools, vision, reasoning, JSON, streaming
01 / Task fit
What jobs does it fit?
Start with the job, then choose the model. Flash fits work with a clear scope, a fixed answer format, and results a person can check.
Research brief
Field extraction
Sorting and routing
Task setup
03 / Real work scenarios
Three workflows where DeepSeek V4.1 Flash 1017 earns its place
Research a product market
Hermes sends a batch of approved product pages to a DeepSeek sub-agent. It extracts price, material, shipping promise, country, and source URL into one JSON row per product. The main Agent groups the rows and marks missing evidence. A person checks the source links before anything becomes a customer-facing claim.
Work through a code repository
The main Agent turns a bug report into a small checklist. DeepSeek reads the named files, writes a focused test, runs the approved test command, and returns the changed files plus the result. A stronger model or engineer reviews architecture and security; Flash handles the repeatable scan, test, and summary.
Triage a support queue
Hermes gives each ticket to a DeepSeek sub-agent with a fixed schema: language, order status, issue type, urgency, and suggested route. It can label hundreds of similar tickets quickly. It should not issue refunds or promise a resolution by itself. A person reviews urgent, unusual, or policy-sensitive cases.
Task routing
Choose Flash for clear, repeat jobs
Ask one question before choosing a model: if the answer is wrong, can I spot and fix it quickly? If yes, Flash is often a good first choice. If no, use a stronger model or ask a person to check.
TaskWhy Flash fitsWhen to route elsewhere
Read pages and extract fieldsThe fields and answer format are known.The source is unclear, incomplete, or legally sensitive.
Classify feedback or leadsMany similar records need the same labels.The decision changes a customer promise or commercial terms.
Prepare a research briefIt can summarize gathered evidence into a fixed template.The brief needs original judgment or a final recommendation.
Call an approved toolThe action is narrow and parameters are checked.The action publishes, spends money, or changes external data.
1. Give a clear taskTell the model what fields you need.
↓2. Flash does repeat workRead, sort, extract, or summarize.
↓3. Check the resultReview missing facts and important claims.
↓4. Use approved outputSend it to the next safe step.
04 / Cost estimate
What can one task cost?
≈ $0.01
For a task that turns a set of sources into a task list, allow 20,000 input tokens and 3,000 output tokens. At the current Hermes rate, plan for about $0.01. This covers model tokens only. Search, crawling, storage, and other tools are separate.
Input $0.265 / 1M tokens · Output $1.059 / 1M tokens · Cache read $0.005 / 1M tokens
05 / First run
Start with one checkable task
Do not give an Agent a whole project first. Give it a small task with a fixed answer format, then check the result.
A person should check: no important fields are missing; prices and dates are correct; the next step makes sense.
{
"items": [
{
"name": "…",
"price": "…",
"next_step": "…"
}
]
}Three starter tasks
Start with a task that has a clear finish line.
01 · Extract
Turn product pages into records
Ask for a name, price, category, material, and source URL. Check every missing field and every claim you plan to publish.02 · Classify
Sort feedback before a person reads it
Ask for issue type, urgency, evidence, and a short summary. A person should approve any escalation.03 · Summarize
Prepare a weekly research brief
Collect links and notes first. Ask Flash to group evidence into a fixed brief. Open every source used for an important claim.API setup
Call the model from an OpenAI compatible endpoint.
Get an API key, use the Hermes endpoint, and set the model ID. Start with a narrow prompt and a structured response. This gives you a way to measure usage before you scale a workflow.
Create an API key →curl https://api.hermes-ai.net/api/v1/chat/completions \
-H "Authorization: Bearer $HERMES_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4.1-flash",
"messages": [{"role":"user","content":"Extract name, price, and category. Return JSON only."}],
"response_format": {"type":"json_object"}
}'06 / Escalation
When should you use a stronger model?
Use a stronger main Agent when the job needs long reasoning, a complex code change, planning from an unclear goal, or an answer that is hard to check. Flash can prepare the material, sort tasks, and organize results first.
Read the official DeepSeek release note ↗FAQ
When should you use a stronger model?
When should you use a stronger model?
Use a stronger main Agent when the job needs long reasoning, a complex code change, planning from an unclear goal, or an answer that is hard to check. Flash can prepare the material, sort tasks, and organize results first.
What should a person check?
A person should check: no important fields are missing; prices and dates are correct; the next step makes sense.
HERMES API
Ready to give your Agent a first job?
Create a Hermes API key, select DeepSeek V4.1 Flash 1017, and begin with a small task you can check.