DeepSeek V4 is now available to try directly in your browser on glm5.app. Open this link, start a chat, and the model selector will route you to DeepSeek V4:
Try DeepSeek V4 online on glm5.app
This article is based on the current DeepSeek API documentation, glm5.app's public model routing, and the pricing/model metadata available at publication time. Model availability and prices can change quickly, so use the official DeepSeek docs for final production budgeting.
What This Solves
People searching for "DeepSeek V4 online" usually do not want a long SDK tutorial first. They want three things:
- A browser page where they can try the model without wiring an API client.
- A clear explanation of which DeepSeek V4 model they are using.
- A quick path from casual testing to API integration if the results look good.
glm5.app now covers the first path with a direct chat URL:
https://glm5.app/chat?model=deepseek-v4That shortcut maps to DeepSeek V4 Pro on glm5.app. If you want the cheaper Flash variant, open the model dropdown and select DeepSeek V4 Flash.
What This Article Adds
Most DeepSeek V4 pages either explain the official API or compare benchmarks. This guide focuses on the practical bridge: how to try DeepSeek V4 immediately on glm5.app, what the model route means, and how to decide whether to keep testing in the browser or move into API work.
Quick Start: Open DeepSeek V4 on glm5.app
- Go to https://glm5.app/chat?model=deepseek-v4.
- Confirm the selected model says DeepSeek V4 in the chat model dropdown.
- Paste a real prompt from your workflow: code review, long-form analysis, bilingual rewriting, or structured extraction.
- Run the same prompt against GLM 5.2 from the dropdown if you want a side-by-side comparison.
- Save the prompts where DeepSeek V4 clearly wins or loses; those become your evaluation set before any API commitment.
For a fair test, avoid toy prompts. Use a real document, a real support ticket, a real function design question, or a real debugging trace. DeepSeek V4's value is easiest to judge on tasks where reasoning quality, code detail, or instruction following actually matters.
DeepSeek V4 Pro vs DeepSeek V4 Flash
DeepSeek currently exposes two V4 API model IDs in its official docs: deepseek-v4-pro and deepseek-v4-flash. Both support a 1M context length and a maximum output listed as 384K in the DeepSeek pricing table, but they target different trade-offs.
| Use case | Better starting point | Why |
|---|---|---|
| Hard reasoning, coding, architecture review | DeepSeek V4 Pro | Use the stronger model first when quality matters more than cost. |
| Fast summaries, everyday chat, cheaper iteration | DeepSeek V4 Flash | Use Flash when you want lower-cost, quick feedback. |
| Comparing against GLM 5.2 | DeepSeek V4 Pro | It is the cleaner "best vs best" comparison. |
| High-volume batch work | DeepSeek V4 Flash | Cost matters more once you run thousands of calls. |
On glm5.app, the short URL ?model=deepseek-v4 selects the Pro route. Flash remains available from the chat model selector for users who want speed and lower cost.
What DeepSeek's Official API Supports
DeepSeek's own documentation lists the OpenAI-format base URL as https://api.deepseek.com and names both deepseek-v4-flash and deepseek-v4-pro as supported models. The docs also show standard chat completions usage with OpenAI SDK-style clients.
Important capabilities to know before you move from browser testing to API work:
- Thinking mode is supported and enabled by default, with effort controls such as
low,high, andmaxdepending on the model. - Tool calls are supported, including thinking-mode tool-call flows where reasoning state needs to be passed back correctly in later turns.
- JSON output is listed in the model feature table, useful for structured extraction tasks.
- Responses API support currently applies to
deepseek-v4-flash; DeepSeek's docs say V4 Pro support is expected in early August 2026. - Pricing can change with peak/off-peak rules. DeepSeek's pricing page warns that peak pricing may be 2x normal rates once the policy takes effect.
For production API work on glm5.app's OpenAI-compatible endpoint, see the GLM 5 API docs. For direct DeepSeek API integration, use DeepSeek's official API docs as the source of truth.
When to Use DeepSeek V4 Instead of GLM 5.2
Use DeepSeek V4 when your evaluation prompts show a clear edge on:
- Code reasoning and bug analysis
- Step-by-step math or logic tasks
- Agentic planning where the model needs to call tools
- Concise technical explanations
- Cost-sensitive batch work where Flash quality is enough
Use GLM 5.2 when your tasks lean toward:
- Long-context analysis in the GLM workflow
- Chinese-English bilingual writing and rewriting
- Existing GLM 5.2 API integrations
- Comparing output style against your current GLM prompts
- Model consistency across the glm5.app chat and public API docs
The best answer is not ideological. Put your real prompts through both models and keep whichever one wins for that specific workflow.
Open DeepSeek V4 on glm5.app and test it against GLM 5.2 with the same prompt.
A Practical Evaluation Prompt Set
Use this small set before deciding whether DeepSeek V4 belongs in your workflow:
| Test | Prompt idea | What to watch |
|---|---|---|
| Code review | Paste a real diff and ask for production risks | Does it find concrete bugs or only style issues? |
| Architecture | Ask it to choose between two implementation plans | Does it name trade-offs and failure modes? |
| Data extraction | Paste messy notes and request JSON output | Does it follow the schema without extra prose? |
| Bilingual work | Ask for Chinese-English localization with tone constraints | Does it preserve meaning and style? |
| Tool planning | Ask what functions it would call to complete a task | Does it plan cleanly and avoid unnecessary calls? |
Run the same tests on GLM 5.2, Kimi K3, and DeepSeek V4. A model that wins one category may not win all of them.
FAQ
What is the DeepSeek V4 URL on glm5.app?
Use https://glm5.app/chat?model=deepseek-v4. It opens the chat experience with DeepSeek V4 selected.
Does deepseek-v4 mean Pro or Flash?
On glm5.app, the short deepseek-v4 route maps to DeepSeek V4 Pro. DeepSeek V4 Flash is still available from the model dropdown when you want the lower-cost variant.
Is glm5.app the official DeepSeek platform?
No. glm5.app is an independent AI chat and API platform. For official DeepSeek account management, billing, and direct API credentials, use DeepSeek's own platform and documentation.
Can I use DeepSeek V4 through an API?
Yes. DeepSeek's official API supports OpenAI-format chat completions for deepseek-v4-pro and deepseek-v4-flash. glm5.app also exposes an OpenAI-compatible public API for its curated model list; check the glm5.app API docs for currently available public model IDs and pricing.
Should I use DeepSeek V4 Pro or GLM 5.2?
Test both on your real workload. DeepSeek V4 Pro is a strong default for reasoning-heavy tasks. GLM 5.2 remains a strong choice for GLM-native workflows, long-context experiments, and users already building against glm5.app's GLM-focused API documentation.
Bottom Line
If you want the fastest way to try DeepSeek V4 online, use the direct glm5.app chat route:
Start with a real prompt, compare it against GLM 5.2, then decide whether the model deserves a permanent place in your stack.
Sources
- DeepSeek Models & Pricing — Official model IDs, context length, feature matrix, and token pricing for
deepseek-v4-flashanddeepseek-v4-pro. - DeepSeek Your First API Call — Official base URL, model IDs, and OpenAI-format request examples.
- DeepSeek Chat Completions API — Official request schema, supported model IDs, tool parameters, streaming, and response-format controls.
- DeepSeek Thinking Mode — Official thinking-mode toggle and reasoning-effort behavior.
- DeepSeek Tool Calls — Official function-calling behavior and tool-use examples.
- glm5.app API docs — Public glm5.app API documentation for model access, billing, and OpenAI-compatible chat.
- GLM 5.2 vs DeepSeek V4 Pro — Related comparison for users evaluating DeepSeek V4 against GLM 5.2.
- Kimi K3 vs DeepSeek V4 Pro — Related comparison for users evaluating DeepSeek V4 against another Chinese frontier model.