What is D-Chat?
D-Chat lets you use DeepSeek V4 models through a simple web interface. It is an independent product and is not affiliated with DeepSeek.
DeepSeek V4 Pro and Flash - Free, Instant, No Setup
Use the latest DeepSeek V4 models right in your browser. Ask questions, write code, search the web, and turn on Thinking for harder tasks - all in one place.
DeepSeek V4 Chat
Online
Pick Flash or Pro, enable web search or thinking when needed, then start with a real prompt.
Starter prompts
Models
2
Context
1M
Access
DeepSeek API
Architecture
MoE
Switch DeepSeek V4 model
Try DeepSeek V4 in the browser. Open a model page for specs, benchmark notes, pricing, and use cases.
Model Family
Choose the DeepSeek V4 Path That Fits Your Task
DeepSeek V4 splits into a flagship Pro model and a faster Flash model. Open a model page to compare scale, cost, context, and where each one makes sense.
DeepSeek V4 Pro
Flagship 1.6T MoE model with 49B active parameters, 1M context, and the highest V4 benchmark ceiling.
DeepSeek V4 Flash
Fast 284B MoE model with 13B active parameters, 1M context, and much lower token costs for high-volume work.
DeepSeek V4 API
Use OpenAI-compatible API calls with deepseek-v4-pro or deepseek-v4-flash, plus Thinking and tool-enabled chat flows.
DeepSeek V4 Pricing
Compare cache-hit input, cache-miss input, output prices, and D-Chat credit rules in one place.
DeepSeek V4 Benchmark vs Frontier Models
Compare DeepSeek V4 Pro and Flash with GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, Kimi K2.6, and GLM-5.1 across reasoning, coding, software engineering, browsing, and tool-use benchmarks.
DeepSeek V4 Pro
MaxFlagship V4 path with strong coding, agentic, browsing, and tool-use scores.
Best D-Chat route when final quality matters.
MMLU-Pro
87.5
SimpleQA
57.9
GPQA
90.1
LiveCodeBench
93.5
Terminal Bench
67.9
SWE Verified
80.6
SWE Pro
55.4
BrowseComp
83.4
MCPAtlas
73.6
Toolathlon
51.8
Gemini 3.1 Pro
HighStrong general-reasoning competitor with high SimpleQA and GPQA scores.
External frontier baseline.
MMLU-Pro
91.0
SimpleQA
75.6
GPQA
94.3
LiveCodeBench
91.7
Terminal Bench
68.5
SWE Verified
80.6
SWE Pro
54.2
BrowseComp
85.9
MCPAtlas
69.2
Toolathlon
48.8
Claude Opus 4.6
MaxStrong coding and software-engineering baseline.
External frontier baseline.
MMLU-Pro
89.1
SimpleQA
46.2
GPQA
91.3
LiveCodeBench
88.8
Terminal Bench
65.4
SWE Verified
80.8
SWE Pro
57.3
BrowseComp
83.7
MCPAtlas
73.8
Toolathlon
47.2
GPT-5.4
xHighReasoning-heavy baseline with strong terminal, browsing, and tool-use results.
- means the source table did not report the score.
MMLU-Pro
87.5
SimpleQA
45.3
GPQA
93.0
LiveCodeBench
-
Terminal Bench
75.1
SWE Verified
-
SWE Pro
57.7
BrowseComp
82.7
MCPAtlas
67.2
Toolathlon
54.6
Kimi K2.6
ThinkingCompetitive coding and agentic-task comparison point.
External reasoning baseline.
MMLU-Pro
87.1
SimpleQA
36.9
GPQA
90.5
LiveCodeBench
89.6
Terminal Bench
66.7
SWE Verified
80.2
SWE Pro
58.6
BrowseComp
83.2
MCPAtlas
66.6
Toolathlon
50.0
GLM-5.1
ThinkingChina-frontier baseline for reasoning, browsing, and tool tasks.
- means the source table did not report the score.
MMLU-Pro
86.0
SimpleQA
38.1
GPQA
86.2
LiveCodeBench
-
Terminal Bench
63.5
SWE Verified
-
SWE Pro
58.4
BrowseComp
79.3
MCPAtlas
71.8
Toolathlon
40.7
DeepSeek V4 Flash
MaxEfficient DeepSeek V4 route that stays close to Pro on coding and software tasks.
Best D-Chat route when throughput and cost matter.
MMLU-Pro
86.2
SimpleQA
34.1
GPQA
88.1
LiveCodeBench
91.6
Terminal Bench
56.9
SWE Verified
79.0
SWE Pro
52.6
BrowseComp
73.2
MCPAtlas
69.0
Toolathlon
47.8
Values follow the official DeepSeek V4 model-card tables. Use them as routing hints, not a substitute for your own production evals.
Updated 2026-04-24Key Features of D-Chat
From quick drafts to deeper coding and reasoning, D-Chat keeps the DeepSeek V4 workflow simple: pick a model, add tools when needed, and keep moving.
Pro and Flash in one UI
Use Flash for speed and volume. Switch to Pro when reasoning quality, code repair, or final answer reliability matters more than cost.
1M context window
Both DeepSeek V4 Pro and Flash are listed with 1M context, so long documents, logs, and chat history can stay in the same session.
Thinking mode
Turn on step-by-step reasoning for harder prompts such as debugging, planning, math, multi-step analysis, and code review.
Web search
Enable search when freshness matters. D-Chat can gather current context before DeepSeek V4 writes the final answer.
Cache-aware pricing
DeepSeek separates cache-hit input, cache-miss input, and output tokens. Stable prompts and reusable context can change cost materially.
Source-linked guides
Read practical guides for DeepSeek V4 price, API setup, benchmarks, technical report, model size, and comparisons.
FAQ
Frequently Asked Questions
Common questions about D-Chat and the DeepSeek V4 models available here.
Which DeepSeek V4 model should I start with?
Start with DeepSeek V4 Flash for everyday chat, summaries, extraction, and quick answers. Use DeepSeek V4 Pro for harder reasoning, coding, planning, and high-stakes final answers.
Is it free to use?
Yes. Every account gets 5 free credits to try D-Chat. When those credits run out, you can upgrade to keep using Pro, Flash, Thinking, and web search.
What is the DeepSeek V4 context length?
The current DeepSeek API pricing table lists both DeepSeek V4 Pro and DeepSeek V4 Flash with a 1M context window.
What are the DeepSeek V4 API model IDs?
The current V4 model IDs are deepseek-v4-pro and deepseek-v4-flash.
What is Thinking mode?
Thinking mode gives the model more reasoning budget before answering. Use it for complex tasks where a quick response is usually not enough.
Does D-Chat support web search?
Yes. You can enable web search in chat so the model can use current information before answering.
Can I upload images?
No. DeepSeek V4 chat on D-Chat is text-only because the current DeepSeek V4 models do not support multimodal image input.
How is D-Chat pricing different from DeepSeek API pricing?
DeepSeek bills API usage by tokens. D-Chat uses a simple credit layer so users can compare Flash, Pro, Thinking, and web search in one interface.
Where can I read more?
Open the blog for DeepSeek V4 price, API, benchmark, paper, technical report, size, and comparison guides.
Latest DeepSeek V4 Guides
Guides, comparisons, and setup notes for DeepSeek V4 price, API, benchmarks, technical report, paper, model size, and more.
DeepSeek V4 Flash vs Claude Sonnet 4.6: Quality vs Cost in 2026
DeepSeek V4 Flash vs Claude Sonnet 4.6 compared — Sonnet 4.6 leads on knowledge and agentic tasks, V4 Flash costs 50x less. SWE-bench coding scores nearly tied. Full breakdown.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 Flash vs MiniMax M3: Efficient Open-Weight Models in 2026
DeepSeek V4 Flash vs MiniMax M3 — V4 Flash leads on price with known API pricing, M3 leads on agentic coding (SWE-bench Pro) and brings native multimodal and 15x faster inference.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 Pro vs GLM-5.1: The Closest Open-Weight Fight of 2026
DeepSeek V4 Pro vs GLM-5.1 compared on BenchLM, coding, knowledge, and agentic tasks. One point separates them on the leaderboard — here is what actually differs.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 Pro vs GPT-5.5: The 8x Price Gap and What It Actually Buys You
DeepSeek V4 Pro vs GPT-5.5 — GPT-5.5 leads benchmarks by 21 points but costs 8.6x more on output. What real developers are saying and when each model is actually worth it.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 Pro vs Kimi K2.6: Benchmarks, Real Tests, and What Users Actually Think
DeepSeek V4 Pro vs Kimi K2.6 — full benchmark comparison, real-world coding tests from kilo.ai, and what Reddit and Twitter users are actually saying in 2026.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 Pro vs MiniMax M3: Open-Weight Frontier Coding in 2026
DeepSeek V4 Pro vs MiniMax M3 — MiniMax M3 leads on SWE-bench Pro and BrowseComp, V4 Pro leads on LiveCodeBench and Codeforces. Full benchmark table, the ICLR paper demo, and community reaction.
Jun 1, 2026
DD-Chat Team
Qwen 3.6 Plus vs DeepSeek V4 Flash: Route by Task, Not by Model
Qwen 3.6 Plus vs DeepSeek V4 Flash compared — Qwen leads on knowledge, V4 Flash leads on coding and is 7.7x cheaper. Edge case tests, pricing reality, and how to choose.
Jun 1, 2026
DD-Chat Team
DeepSeek V4 API: Model IDs, Base URL, Thinking, and Tools
A practical DeepSeek V4 API setup guide for deepseek-v4-pro and deepseek-v4-flash.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 Benchmark: Pro and Flash Scores
DeepSeek V4 benchmark scores: Pro hits 87.5 MMLU-Pro, 93.5 LiveCodeBench, 80.6 SWE Verified; Flash trails closely at 86.2 / 91.6 / 79.0. Here is how to read Pro vs Flash.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 Paper: What Builders Should Notice
A builder-focused reading guide for the DeepSeek V4 paper and model card.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 Price: Pro vs Flash API Costs
DeepSeek V4 price per million tokens: Flash is $0.14 input / $0.28 output and Pro is $1.74 input / $3.48 output (cache-miss), plus cache-hit rates and how to choose Flash vs Pro.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 Size: Parameters, Active Parameters, and Context
DeepSeek V4 model size: Pro is 1.6T total / 49B active, Flash is 284B total / 13B active, both with a 1M token context window — plus what total vs active parameters mean for cost.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 Technical Report: Architecture, Training, and Benchmarks
A practical reading guide to the DeepSeek V4 technical report, covering MoE scale, million-token context, training pipeline, reasoning modes, and benchmark signals.
Apr 24, 2026
DD-Chat Team
DeepSeek V4 vs Other Models: When Pro or Flash Makes Sense
A practical comparison of DeepSeek V4 Pro and Flash against other frontier and efficient model choices.
Apr 24, 2026
DD-Chat Team