Faster in the same family
Aimed at high-concurrency chat and coding—moving lots of short-to-mid requests off Pro.
DeepSeek · V4 Flash · Apr 2026
مجانيEfficiency-oriented V4 MoE for high-throughput coding, chat, and short-to-mid agents — free to try in iMini Agent.
DeepSeek V4 Flash is DeepSeek’s efficiency-oriented V4 model from April 2026—aimed at high-throughput coding, chat, and short-to-mid agents. Versus V3.2 and the heavier V4 Pro, it puts speed and cost first; with a larger thinking budget, Flash-Max can approach Pro on some reasoning tasks. On this site we help you open it inside a free online AI Agent on iMini—no local install required.
DeepSeek V4 Flash is the efficiency tier of the DeepSeek V4 family released in April 2026. It is a Mixture-of-Experts model with roughly 284B total parameters and about 13B activated per token, which is what lets it answer quickly while still sharing the same 1M-token context window as V4 Pro.
The V4 series replaced the old split between chat and reasoning model IDs: reasoning effort is now a request parameter, so the same Flash model can run in non-thinking, thinking, or Flash-Max mode. With a larger thinking budget, Flash-Max closes part of the gap to Pro on reasoning-heavy prompts.
In practice Flash is the model you pick when a task repeats often — code review passes, quick fixes, chat answers, extraction, and short-to-mid agent loops — and the cost of a single imperfect answer is low enough that you would rather retry than wait.
Throughput, same-architecture long context, and deepen-able Flash-Max—the boundaries to check before picking the efficiency-oriented option.
Aimed at high-concurrency chat and coding—moving lots of short-to-mid requests off Pro.
Same long-context tier as Pro, so short-turn jobs can still carry longer materials.
With a larger thinking budget, some reasoning results can approach Pro—suited to fast-then-deep pipelines.
Works well for everyday tool calls and quick iterations inside an online agent before you wire local APIs.
Numbers reported in the DeepSeek-V4 technical report and public API pricing. Read them together: Flash trades some reasoning ceiling for large efficiency gains.
1M
Same long-context tier as V4 Pro, so short-turn jobs can still carry large materials.
~13B
Out of 284B total MoE parameters — the reason latency and cost stay low.
~10%
Of DeepSeek V3.2 at a 1M-token context; KV cache drops to roughly 7%.
0.84–0.91
Flash-Max retrieval accuracy at most points before 128K; about 0.49 at the full 1M.
$0.14
Per 1M tokens on cache miss — roughly a third of V4 Pro input pricing.
$0.28
Per 1M tokens, which is where the cost gap against flagship tiers shows up most.
Sources: DeepSeek-V4 technical report (arXiv:2606.19348) and published DeepSeek API pricing. Benchmark numbers move with reasoning effort — verify on your own task before committing a production workload.
DeepSeek V4 Flash fits high-turnaround work where failure cost is relatively controllable.
For everyday features and quick fixes. Step up to V4 Pro for the heaviest long-horizon jobs.
For Q&A, explanatory drafts, and formatted output.
For tool calls with clear steps. Switch to Pro when you need top-tier reasoning.
You do not need a DeepSeek API key to test Flash. Open it inside iMini Agent, describe a real task, and watch it plan and call tools in the browser.
No API key, no local CLI, no config file. Open the agent and start typing.
Flash plans, calls tools, and iterates — not just a single chat reply.
Start on Flash, escalate to V4 Pro in the same session if a task turns out harder than expected.
Both are the fast, low-cost tier of their family, and both are built for high-volume work where latency and price matter more than the absolute ceiling.
| Criterion | DeepSeek V4 Flash | GPT-5.6 Luna |
|---|---|---|
| Released | Apr 2026 | Jul 2026 |
| Context window | 1M tokens | 1.05M tokens |
| Reasoning modes | Non-Think / Think High / Flash-Max | Up to max effort (no ultra) |
| API price (in/out per 1M) | $0.14 / $0.28 | $1.00 / $6.00 |
| Weights | Open, MIT licensed | Closed, API only |
| Built for | High-throughput coding, chat, short-to-mid agents | Classification, extraction, routing, first-pass drafting |
| Escalation path | DeepSeek V4 Pro | GPT-5.6 Terra or Sol |
The headline difference is cost: Luna is a strong volume tier, but Flash lands at roughly a seventh of Luna's input price and open weights let you self-host or audit. Luna keeps a slightly larger window and the wider OpenAI tooling ecosystem. The fastest way to decide is to run the same prompt through both — you can try Flash free in iMini Agent right now.
Free try iMini Agent →Both share a 1M context window. The gap is mainly ceiling vs throughput—pick by task, not by brand loyalty.
| Criterion | DeepSeek V4 Flash | DeepSeek V4 Pro |
|---|---|---|
| Context | 1M tokens | 1M tokens |
| Reasoning | Flash-Max available | Think High / Max |
| Coding & agents | High-throughput coding | Complex coding & long-horizon agents |
| Long-horizon tools | Better for short-to-mid | Long-horizon automation posture |
| Speed posture | Throughput first | Favors finish quality |
| Prefer when | High-turnaround DeepSeek work | Code & hard-reasoning flagship |
Also see DeepSeek V4 Pro
Three steps to run this DeepSeek V4 model in a free online agent—no DeepSeek API key required.
Click the button to launch the free online agent in your browser.
Select Flash for throughput/cost or Pro for deeper reasoning inside the agent.
Let the agent plan, call tools, and deliver — iterate with follow-ups as needed.
Free quota, model naming, key specs, and how Flash differs from Pro.
Million-token context, faster throughput—suited to everyday coding and chat. No DeepSeek API key required.
Online Agent is provided via iMini. This site is an independent guide and is not affiliated with DeepSeek.