Research briefs
Turn pages, PDFs, screenshots, and notes into a short brief with evidence and open questions.
HERMES API MODEL GUIDE
Use Gemini 3.8 Flash when an Agent needs to understand mixed sources, including text, screenshots, video, audio, and PDFs. Give it a clear finish line, because a fast model can still spend too much when a task has no limits.
At a glance
Gemini 3.8 Flash is useful when a workflow has more than text. It can read a supplier PDF, inspect product screens, extract evidence from a video, and return a structured result for the next Hermes step.
It is not a reason to make an Agent fully autonomous. The useful pattern is simple: define the allowed inputs, choose an answer format, limit tool calls, and require a person to approve important output.
01 / Task fit
The best Gemini 3.8 Flash tasks have a known input set and a checkable answer. The model can do the first pass across different file types. A person still owns the final decision.
Turn pages, PDFs, screenshots, and notes into a short brief with evidence and open questions.
Read a product screen or dashboard and list missing states, unclear labels, and risks to check.
Make a narrow code change with a file limit, a test command, and a final report.
Return fixed fields for the next Agent instead of an open ended explanation.
Task routing
Hermes should use Gemini 3.8 Flash for evidence gathering and bounded execution. Route high risk choices to a person or a separate review step.
A controlled Hermes task
Source material
Gemini first pass
Checkable result
A person decides the next step
This is a recommended working pattern, not a promise of autonomous decisions.
02 / Cost control
≈ $0.03
For a task that reads 20,000 input tokens and returns 3,000 output tokens, the raw Gemini 3.8 Flash model cost on Hermes is about $0.024. Plan for about $0.03 before search, crawling, storage, and other tools.
INPUT $0.675 / 1M TOKENS · OUTPUT $3.375 / 1M TOKENS · CACHE READ $0.0675 / 1M TOKENS
Cost scenarios
Small review
≈ $0.0320k input + 3k output. A PDF, a few screenshots, and a short evidence list.Longer brief
≈ $0.0520k input + 10k output. The same source pack, but with a much longer response.Repeated work
Measure firstUse a short pilot before processing hundreds of records or allowing tool retries.Gemini 3.8 Flash can produce more tokens than a simple task needs. Control the budget with a fixed schema, a response length limit, a maximum tool call count, and a rule to stop when evidence is missing.
03 / First task
Do not give an Agent a whole project first. Give it a small set of files, fixed fields, and a clear stop rule. This tells you whether the model is useful before you scale usage.
A person should check: every important claim has evidence; unknown facts stay unknown; the answer is within scope; no outside action happened without approval.
{
"product_name": "...",
"claimed_material": "...",
"missing_specifications": [],
"evidence": [{"field": "...", "source": "..."}],
"questions_for_review": []
}Three starter tasks
01 · Evidence
02 · Screen review
03 · Code task
Model choice
When the source includes screenshots, PDFs, video, or audio; when the task needs structured output and an approved tool; or when one Agent must understand several input types together.
When the work is mostly text, repeats across many records, has a fixed format, and needs a lower cost first pass.
A practical Hermes workflow can use DeepSeek V4.1 Flash to prepare repeat text work and Gemini 3.8 Flash to inspect mixed sources or visual evidence. Neither should approve a high risk action by itself.
Compare with DeepSeek V4.1 Flash →Evidence and limits
Vendor information
Google positions Gemini 3.8 Flash as a fast model for software work and complex workflows. Hermes exposes its tools, vision, audio, reasoning, streaming, and structured output features.
Independent signal
Artificial Analysis places it above many models in its price range for overall capability and output speed. A benchmark result is not proof that it will finish your project without review.
Community reports
Users report that bounded coding and research tasks can work well, while longer tasks may retry tools, create incorrect files, or spend more tokens than expected.
Sources: Google Gemini model documentation, Artificial Analysis, and public developer discussions. Vendor results, independent measurements, and community reports are shown as different types of evidence.
API setup
Create an API key, use the Hermes OpenAI compatible endpoint, set the model ID, and begin with a narrow prompt. Measure real token use before you add more inputs, tools, or volume.
curl https://api.hermes-ai.net/api/v1/chat/completions \\
-H "Authorization: Bearer $HERMES_API_KEY" \\
-H "Content-Type: application/json" \\
-d '{
"model": "google/gemini-3.8-flash",
"messages": [{"role":"user","content":"Read the files. Return JSON with evidence, unknowns, and next steps."}],
"response_format": {"type":"json_object"}
}'FAQ
It is useful for small coding tasks with a defined file scope, tests, and a final report. Add a review step for security work, large code changes, or work that is hard to test.
Yes. Hermes lists vision and audio support alongside text. It is a good fit when a task includes screenshots, PDFs, video, audio, and text.
Set a fixed answer schema, response length limit, tool call limit, and stop rule. Run a small pilot and measure actual token use before scaling.
Check source evidence, changed files, test results, scope, and any external action. Require approval before a workflow sends messages, publishes content, changes data, or spends money.
HERMES API
Create a Hermes API key, select google/gemini-3.8-flash, and begin with a small task that a person can verify.