DeepSeek
DeepSeek V4.1 Flash
deepseek-v4.1-flash
Total Context
1M
Max Output
384K
Released
N/A
Input$0.2857 / M tokens
Output$1.1429 / M tokens
DeepSeek V3.1 Terminus
deepseek-v3.1-terminusDeepSeek V3.1 Terminus is an official update to the V3.1 line that focuses on language consistency and more reliable agent behavior. DeepSeek’s release notes call out improvements to code agents and search agents, which makes this version relevant for workflows that combine reasoning, tool use, and retrieval. It is less about changing the model family’s basic identity and more about making the existing V3.1 capabilities steadier in practical agent scenarios.
Context Window
128K tokens
Maximum Output
64K tokens
Release Date
Sep 22, 2025
Modalities
DeepSeek V3.1 Terminus Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.5714/M | $1.7143/M | $0.0857/M |
DeepSeek V3.1 Terminus API Capabilities
Reasoning
Not supported
Tool calling
Not supported
Temperature parameter
Not supported
Attachments
Not supported
Knowledge Base
—
Endpoint Protocols
Completions APIMessages API
DeepSeek V3.1 Terminus Model Highlights
DeepSeek V3.1 Terminus improves language consistency and strengthens coding and search agents while retaining V3.1 capabilities.
Language Consistency
Reduces unintended Chinese-English mixing and abnormal characters, producing more stable multilingual text.
Code Agent Optimization
Improved software-engineering and terminal-task performance supports more reliable agentic coding workflows.
Search Agent Performance
Updated search-agent behavior improves multi-step retrieval and the use of gathered information in final responses.
DeepSeek V3.1 Terminus Use Cases
DeepSeek V3.1 Terminus suits coding agents, tool-assisted research and multilingual text workflows that require consistent output.
Repository Debugging
Examines repository files, traces defects and proposes coordinated code changes to resolve software issues.
Tool-Assisted Research
Runs multi-step searches, evaluates retrieved material and produces a consolidated answer from the evidence.
Multilingual Content Refinement
Rewrites and reviews multilingual text while reducing accidental language mixing and malformed characters.
How to Use DeepSeek V3.1 Terminus via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)DeepSeek V3.1 Terminus FAQ
DeepSeek V3.1 Terminus: capabilities, use cases, limits, and TokenHub guidance.
What does DeepSeek V3.1 Terminus focus on?+
DeepSeek V3.1 Terminus is a DeepSeek model for stable multilingual and agent-oriented generation.
Which projects fit DeepSeek V3.1 Terminus?+
Best for multilingual generation, search agents and routine coding assistance, especially when reproducing an older workflow is the priority.
What is special about DeepSeek V3.1 Terminus?+
Key strength: improved language consistency and more stable agent outputs.
When is another model better?+
It is a legacy version whose original official access was temporary. Use DeepSeek V4 Flash for new integrations.
How do I avoid ID mistakes?+
Confirm TokenHub availability; prefer the current successor for new work.
Ready to use DeepSeek V3.1 Terminus?
Use one API key to access DeepSeek V3.1 Terminus and more AI models through TokenHub.
Media and Discussions
Selected public videos and posts related to this model.
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